WORK EXPERIENCE:

Mitsubishi Electric Research Labs, Cambridge, MA (March 2000 - Present)
Senior Principal Research Scientist and Technical Manager, Imaging Group

• Won the Scientist of the Year Award 2006 by R&D100
• Selected among the Best Performing employees (topmost category) at MERL consistently from 2003 to 2009
• Won the Best paper prize - runner up (out of 1300 papers) at CVPR 2007
• Won the MELCO Research Excellence Award (Shakaihon DM) in 2009
• Prepared 25 successful project proposals (company), and 1 final-tier ARDA proposal
• Won MELCO Presidents Award (2007) and MERL Directors Award (2008) in recognition of work on contribution to strategic products
• Developed fundamental technologies for 11 key products: Particle Beam IGRT, Surveillance DVR DX2500, ETC Traffic Control, Mitsubishi DTV Decoder, Physical Security PC55EXP, Harbor Monitoring, Stadium Multi-camera System, HD Helicopter Television v1 and v2
• Consistently increased responsibility and output: 80+ papers, 50+ patents (30+ granted)
• Brought in external funding and personally managed (selected projects):
  • Medical Data Analysis, multi-year project started in 2006, (multi-million $ in sales)
    Design of non-intrusive tumor finders and trackers for particle beam IGRT system
  • Object Detection and Tracking, multi-year project started in 2005, (multi-million $ in sales)
    Development of advanced aerial, indoors, outdoors, vehicle surveillance systems
  • GIS, Aerial Video, and Navigation 2004, 2005, 2007, 2008 (multi-million $ in sales)
    Pioneering stabilization and tracking functionalities for aerial cameras and radars
  • ETC and DSSS for Highway Traffic, Traffic Event Detection2003, 2006, 2007, 2009
    Camera sensor based traffic flow control and management for highways
  • Automatic Video Object Segmentation, 2001, 2002, 2003, 2010 Enabling technologies for MPEG-4 / MPEG-7, and medical systems
• Joint proposal on "Flock Behavior" with U.S. Army R&D Center, 2008

• Technical Highlights (partial list only):
    Computer Vision, Image, Video & Signal Processing

  • Invented the state-of-science regression trackers, applied to ultrasound, X-ray data
  • Developed one of the most accurate single frame human detection algorithm
  • Developed high accuracy automatic target detection and recognition methods for radars
  • Designed a wide spectrum of robust algorithms for UAV aerial target tracking
  • Invented the highly cited integral histogram method that accelerate search 1more than 100x
  • Developed one of the fastest bilateral filtering method that runs in constant time
  • Invented a robust region descriptor of bagged feature covariance matrices for classification that decimates the computation complexity while achieving the best texture recognition
  • Invented the relational combination features for very small object detection
  • Advanced product level quality object trackers including multi-kernel mean-shift, regression on manifolds, joint HMM particle filtering, online classifier tracking, adaptive feature fusion
  • Designed the first dynamic programming based color calibration method to measure and compensate for nonlinear radiometric distortions
  • Developed the first solution to effective removal of moving cast shadows using scene adaptive shadow flow learning
  • Invented the fastest nonlinear image warping method that enables projecting video onto any irregular and moving surface in real-time
  • Reformulated the frequency synthesis filtering for MPEG-2 video to minimize the design complexity and drift problem in HDTV streams
  • Delivered robust video object segmentation methods that extract motion without motion computation using video-cubes, which are integrated into MPEG-4 & JPEG2000 products
  • Integrated essential tools to the imaging products including orientation detection using robust estimators on the matched filter banks, video annotation for automatic generation of MPEG-7 metadata, level-set based fast image segmentation and image reconstruction
  • Minimized the latency while optimizing the network bandwidth by dynamic graph matching that enables fusion of different types of cues as a new feature of Mitsubishi QS Router
  • Developed efficient registration methods for optical, infrared, and medical imagery.
  Machine Learning, Data Mining & Fusion
  • Invented very fast SVM RBF kernel approximation methods and fast classifiers
  • Invented the first boosting based method that enables training classifiers on the naturally existent Riemannian manifolds, integrated into automobile safety and security products
  • Developed the Bayesian update algorithm to fit stochastic models to online observations, which is demonstrated to be more accurate than online EM
  • Constructed the fastest traffic congestion method using HMM's and ML classifier on Neural Nets, which is robust to any lighting variations and achieves 95% accurate detection
  • Designed boosted online feature selection and classifier adaptation method that achieves the minimal memory imprint that is critical for low-cost on-camera systems
  • Developed the core technology of IGRT system, the directed cyclic graph based pattern detection for medical ultrasound video to effectively incorporate periodic priors
  • Invented an optimal cluster estimation and outlier detection method for spectral clustering that is offered as the distinctive key feature of the PC55EXP surveillance software
• Supervised more than 30 PhD students (partial list):
  • Vijay Venkataraman (Oklahoma State), "Automatic target recognition (ATR) and tracking multiple targets in thermal IR video", 2009
  • Tolga Birdal (Tech. University of Munich), "Particle beam radiotherapy on GPU", 2009
  • Sefik Arslan (UCSD), "Visible and invisible tumor tracking in 2.5D and 3D", 2009
  • Gokberk Cinbis, (Boston University), "Part based multi-class object detectors and SVM decision trees", 2009
  • Huseyin Ozkan, (Boston University), "Road sign detection and Advanced SVMs", 2009
  • Dr. Rui Li, (Boston University), "Self adapting HMM's and graph based image segmentation", 2008
  • Ajay Joshi, (University of Minnesota), "Active learning for image classification and estimating pedestrian counts in groups", 2008
  • Teng-Yok Lee, (The Ohio State University), "GPU based surveillance algorithms" in 2007, "Ultrasound data visualization and phase estimation" in 2008
  • Dr. Andrzej Ruta, (Brunel University), "Multi-class classification: sign recognition", 2008
  • Dr. Quan Yuan, (Boston University), "Directed graph based phase estimation", 2007
  • Dr. Emilio Maggio, (Queen Mary University of London), "Gaussian process latent variable models for transform space tracking", 2007
  • Dr. Zhaozheng Yin, (Penn State), "Fusion in thermal infrared for segmentation", 2007
  • Peter Carr, (Australian National University), "Sports video registration", 2006
  • Dr. Wei Qu, (University of Illinois-Chicago), "Performance evaluation platform", 2006
  • Dr. Toufiq Parag, (Rutgers University), "Boosting adaptive linear weak classifiers for online learning", 2006
  • Xue Mei, (University of Maryland), "Joint tracking and multi-modal registration", 2005
  • Emmanuel Goubet, (Paris University), "Pedestrian tracking by thermal infrared", 2005
  • Dr. Xiaokun Li, (University of Cincinnati), "HMM for traffic congestion estimation", 2004
  • Dr. Sitaram Bhagavathy, (Univ. of Santa Barbara), "Surveillance event detection", 2004
  • Dr. Jie Shao, (University of Maryland), "Road extraction from helicopter imagery", 2004
  • Nicole Love, (MIT), "Video summarization for surveillance systems", 2004
• Thesis committee and co-advisor of:
  • Dr. Mohamed Hussein, (University of Maryland), "Spatial and deformable boosting for object detection and recognition", graduated 2009
  • Dr. Hang Zhou, (Monash University), "Gaussian Process classification by spectral analysis of the data", graduated 2009
  • Dr. Pan Pan, (University of Illinois-Chicago), "Optimal allocation in particle filtering for video tracking", graduated 2009
  • Dr. Erhan Ermis, (Boston University), "Information sharing and abnormal behavior detection in visual sensor networks", graduated 2009
  • Dr. Oncel Tuzel, (Rutgers University), "Learning on Riemannian manifolds for interpretation of visual environments", graduated 2008
  • Dr. Faisal Bashir, (University of Illinois-Chicago), "View-invariant trajectory-based activity classification and recognition", graduated 2006

Hughes Research Laboratories, Malibu, CA (May 1999 - March 2000)
Contractor (Computer Vision Expert), Information Sciences Lab

• Developed a novel road extraction method for very low-resolution multi-channel satellite imagery that is the key component of the aerial surveillance product
• Designed an electron microscope data analyzer to find nano-level properties of atomic structures that halved the cost of special IC production

AT&T Bell Labs, Holmdel, NJ (July 1997 - August 1998)
Contractor (Developer), Image Processing Group (started as an intern)

• Achieved the boundary accurate 3D estimation while preventing from surface singularities for low textured images by mesh patch matching for company's experimental 3D display
• Prepared the first comprehensive formulation of the psychometric aspects of 3D perception to reduce long-term eye-strain

EDUCATION:

Ph.D. Electrical and Computer Engineering (2002)
Polytechnic University, Brooklyn, NY
Minors: 1.Mathematics, 2.Computer Science
Thesis: Automatic Video Object Segmentation. Advisor: Prof. Yao Wang (IEEE fellow)

M.S. Electrical Engineering (1996)
Polytechnic University, Brooklyn, NY
Concentration: Signal Processing. Advisor: Prof. Yao Wang (IEEE fellow)
University of Southern California, Los Angeles, CA
Enrolled in graduate program; transferred to Polytechnic University.

B.S. Electrical Engineering (1992)
Bilkent University, Ankara, Turkey. Advisor Prof. Levent Onural (IEEE fellow)

TEACHING:

• Research Assistant, Polytechnic University, NY (1999)
• Tutor, Polytechnic University, NY (1996)
• Teaching Assistant, Ankara University, TR (1993)
• Instructor, First Step Computer Center, Inc., TR (1987)

HONORS:

• R&D100 Scientist of the Year Award 2006
• Best paper prize - runner up (out of 1300 papers), CVPR 2007
• MELCO Research Excellence Award (Shakaihon DM) 2009
• MERL Directors Award, 2008
• MELCO Presidents Award, 2007
• Most Popular Scientist Award 2007, Popular Science Magazine, TR
• Best paper prize - nomination (out of 900 papers), ICME 2007
• Best paper prize - nomination (out of 250 papers), AVSS 2009
• 5 and 10 years of High Achievement Awards by MERL 2004, 2009
• Top 0.005% in the National University Entrance Exam
• Ranked 32nd among 650,000 students
• Full scholarship for overseas doctorate study from National High Educational Council (Top 1%)
• Full scholarship for 5 years from the Board of Education of Bilkent University (Top 2.5%)
• Honorable mention at the Regional Peace Poems Awards

KEYNOTES:

• Structural learning through Riemannian manifolds", IEEE ICPR Keynote, 2010
• Surveillance from a practical point of view", AVSS Panel, 2009
• What is beyond the black stump: smart cameras?", IEEE DICTA Plenary, 2008
• Future generation detection and tracking systems", ISVC Keynote, 2007
• Issues in video analytics & surveillance systems: research vs. applications", AVSS Panel, 2007

Invited talks:

• Is world made of manifolds?" The Ohio State University, 2009
• Future of surveillance systems", AVSS, Genoa, 2009
• Manifold learning", MIT, 2008
• Detection, classification and tracking in manifolds", Google, 2007
• Covariance matrix descriptors and their applications", Boston University, CS, 2006
• Object detection and tracking", University of Illinois-Chicago, 2006
• Combining detection and tracking", Sarnoff, 2005
• Advanced computer vision solutions for surveillance systems", Rutgers University, 2005
• How to learn backgrounds in challenging environments", EPFL, 2004
• Image processing tools for multi-camera systems", University of Maryland, 2003
• Video object segmentation using video-cubes", Carnegie-Mellon, 2003

ACADEMIC RESPONSIBILITIES:

Editor:

• Associate Editor, Journal of Machine Vision Applications, Springer, 2006 to present
• Associate Editor, Journal of Real-Time Image Processing, Springer, 2004 to present
• Guest Editor, Journal of Machine Vision Applications, Special Issue on Car Navigation and Vehicle Systems, Springer, 2010
• Guest Editor, EURASIP Journal on Image and Video Processing, Special Issue on Tracking in Complex Scenes, 2008
• Guest Editor, Journal of Machine Vision Applications, Special Issue on Dynamic Textures, Springer, 2008

Conference Organization:

• General Chair, 7th IEEE Conference on Advance Video and Signal based Surveillance (AVSS), Boston, USA, 2010
• Advisory Board, IEEE International Conference on Pattern Recognition (ICPR), 2010
• Program Chair, Visual Communications and Image Processing (VCIP), 2004 to 2008
• Program Chair, SPIE Real-Time Imaging, 2003 to present
• Track Chair, IEEE International Conference on Multimedia & Expo, (ICME) 2007
• Area Chair, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2009
• Area Chair, IEEE International Conference on Pattern Recognition (ICPR), 2010
• Special Tracks Chair, International Symposium on Visual Computing (ISVC), 2009
• USA Liaison, IEEE, Intelligent Vehicles Symposium (IV), 2009

Session Organizer / Chair:

• IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2010, Online Learning for Computer Vision Workshop (organizer)
• IEEE International Conference on Computer Vision (ICCV) 2009, Online Learning for Computer Vision Workshop (organizer)
• IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2007, 2008, 2010, Online Learning for Classification Workshop (organizer)
• International Symposium of Visual Computing (ISVC) 2007, Algorithms for the Understanding of Dynamics in Complex and Cluttered Scenes (organizer)
• IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) 2006, Video Object Tracking Session (chair)
• IEEE International Conference on Image Processing (ICIP) 2006, Object Detection (chair)
• SPIE Real Time Imaging 2004-2008 Video Compression & Image Analysis Sessions (chair)
• IAPR Machine Vision Applications (MVA) 2005, Intelligent Transport Systems Session (chair)
• International Symposium of Visual Computing (ISVC) 2005, Autonomous Navigation (chair)
• IS&T Image & Video Communications Processing 2003, 2005, Video Scaling - Tracking (chair)
• IEEE International Conference on Image Processing (ICIP) 2003, Surveillance Video (chair)
• IEEE International Conference on Multimedia & Expo (ICME) 2002, 2003, 2005, Multimedia Analysis & Multi-Camera Systems Sessions (chair)
• IEEE International Workshop on Multimedia Signal Processing (WMSP) 2008, 2009 (organizer)

Technical Program Committee:

• IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2004, 2005, 2006, 2007, 2008, 2009, 2010
• IEEE International Confenference on Computer Vision (ICCV) 2005, 2007, 2009
• IEEE European Conference on Computer Vision (ECCV) 2006, 2008, 2010
• IEEE International Conference on Image Processing (ICIP) 2004, 2006, 2007, 2009, 2010
• IEEE Conference on Intelligent Transportation Systems (ITS) 2006, 2007, 2008, 2010
• International Symposium of Visual Computing (ISVC) 2005, 2006, 2007, 2008
• IEEE Workshop on Applications of Computer Vision (WACV) 2006, 2008, 2009
• IEEE Workshop on Performance Evaluation of Tracking Sys. (PETS) 2005, 2006, 2007, 2008, 2009
• IEEE Advanced Video and Signal based Surveillance (AVSS) 2005, 2006, 2007, 2009
• IEEE International Conference on Pattern Recognition (ICPR), 2010
• IS&T Image and Video Communications and Processing (IVCP) 2003, 2005
• Visual Communications and Image Processing (VCIP) 2004, 2006, 2008, 2009, 2010
• International Workshop on Online Pattern Recognition and Machine Learning TeComputer Vision Applications (OPRMLT) 2008
• IEEE Workshop on Motion and Video Computing (WMVC) 2008
• IEEE International Workshop on Mobile Multimedia Processing (WMMP) 2008
• IEEE European Conference on Computer Vision (ECCV), Workshop on Multi-modal Sensor Fusion (2008)
• IEEE Intelligent Vehicles Symposium (IVS) 2004
• Digital Image Computing: Techniques and Applications, 2010
• IEEE Workshop on Video-Oriented Object and Event Classificaiton, ICCv, 2009

Panelist Judge:

• National Science Foundation (NSF), Image Processing Proposals, 2008
• National Science Foundation (NSF), Computer Vision Proposals, 2010

Board of Trustees:

• Pioneer Charter School of Science, Everett, MA
• American Business Improvement & Development, Boston, MA (President 2009)

Journal Reviewer:

• IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010
• IEEE Computer Society Pattern Recognition Letters, 2005, 2006, 2008
• IEEE Transactions on Image Processing 2003, 2004, 2006, 2006, 2009
• IEEE Transactions on Circuits and Systems for Video Technology, 1997, 1998, 2000, 2002, 2003, 2006, 2007, 2008, 2009
• ACM Multimedia 2002, 2004, 2006
• ACM Computer Applications in Health Care, 2003, 2005, 2007

PUBLICATIONS:

Journals and Book Chapters:


1. F. Porikli, F. Bashir, H.Sun, "Compressed domain video object segmentation", IEEE Transactions on Circuits, System in Video Technology, 2008
2. O. Tuzel, F. Porikli, P. Meer, "Human detection via classification on Riemannian manifolds", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2008
3. M. Hussein, F. Porikli, L. Davis, "Pedestrian detection in images: a practical comparative Study, IEEE Transaction on Intelligent Transportation Systems, 2009
4. F. Porikli, Y. Ivanov, T. Haga, "Robust abandoned object detection using dual foregrounds", EURASIP Journal of ASP, Special Issue, 2007
5. J. Shao, F. Porikli, R. Chellappa, "A cascading framework of contour motion and deformation estimation for non-rigid object tracking", IEEE Transactions on Image Processing, 2007
6. F. Porikli, "Achieving real-time object detection and tracking under extreme conditions", Journal of Real-Time Image Processing, Springer, 2006
7. X. Mei, S. K. Zhou, H. Wu, F. Porikli, "Integrated detection, tracking and recognition for IR video-based vehicle classification", Pattern Recognition Letters, Elsevier, 2007
8. F. Porikli, "Making silicon a little bit less blind: seeing & tracking humans", SPIE OE Magazine, Electronic Imaging & Signal Processing, 2006
9. F. Bashir, A. Khokhar, F. Porikli, D. Schonfeld, "Trajectory analysis: A powerful tool for semantics-based indexing and retrieval in multimedia databases", IEEE Signal Processing Magazine, 2005
10. F. Porikli, Y. Wang, "Automatic video object segmentation using volume growing and hierarchical clustering", Journal of Applied Signal Processing, Issue on Object-Based and Semantic Image and Video Analysis, July 2004
11. F. Porikli, Multi-camera object recognition and object-based summary generation system, Advanced Video-Based Surveillance Systems, Kluwer Press, 2003

Conferences:


12. A. Joshi and F. Porikli, "Scene-Adaptive human detection with incremental active learning", IEEE International Conference on Pattern Recognition (ICPR), 2010
13. F. Porikli, "Needle picking for very low SNR target detection in radar signals", Proceedings of SPIE Defense & Security, 2010 (oral)
14. A. Joshi, F. Porikli, N. Papanikolopoulos, "Breaking the interactive bottleneck in multi-class classification with active selection and binary feedback", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010
15. T. Lee, A. Chaudhuri, F. Porikli, H.W. Chen, "CycleStack: inferring periodic behavior via temporal sequence visualization in ultrasound video", IEEE Pacific Visualization Conference (PacVis), 2010 (oral)
16. F. Porikli, P. Pan, "Regressed importance sampling on manifolds for efficient object tracking", IEEE Advanced Video and Signal based Surveillance (AVSS), 2009 (oral)
17. A. Joshi, F. Porikli, N. Papanikolopoulos, "Multi-class batch-mode active learning for image classification", IEEE International Conference on Robotics and Automation (ICRA), 2010
18. A. J. Joshi, F. Porikli, N. Papanikolopoulos, "Multi-class active learning for image classification", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009
19. O. Tuzel, F. Porikli, P. Meer, "Kernel methods for weakly supervised mean-shift clustering", IEEE International Conference on Computer Vision (ICCV), 2009 (oral, 3.1% acceptance rate)
20. F. Porikli, P. Pan, "Regressed importance sampling on manifolds for efficient object tracking", IEEE Advanced Video and Signal based Surveillance (AVSS), 2009 (oral)
21. P. Pan, F. Porikli, D. Schonfeld, "Recurrent tracking using multifold consistency", IEEE International Conference on Computer Vision (CVPR), PETS workshop, 2009 (oral)
22. K. Sengupta, F. Porikli, "Geometric sequence imaging with Bayesian smoothing for optical and capacitive imaging sensors", IEEE Workshop on Object Tracking and Classification in and Beyond the Visible Spectrum, (OTBVS - CVPR), 2009 (oral)
23. M. Hussein, F. Porikli, L. Davis, "Object detection via boosted deformable features", IEEE International Conference on Image Processing (ICIP), 2009 (oral)
24. A. Joshi, F. Porikli, N. Papanikolopoulos, "Multi-class active learning with binary user feedback, "Advances in Neural Information Processing Systems (NIPS), Workshop on Analysis and Design of Algorithms for Interactive Machine Learning (ADA-IML), 2009.
25. F. Porikli, "Constant Time O(1) Bilateral Filtering", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2008 (oral)
26. O. Tuzel, F. Porikli, P. Meer, "Regression based class-specific tracking for fast object detectors", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2008
27. T. Parag, F. Porikli, A. Elgammal, "Adaptive linear weak classifiers for online boosting", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2008
28. M. Hussein, F. Porikli, L. Davis, "Kernel integral spaces", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2008
29. P. Pan, F. Porikli, D. Schonfeld, "A new method for tracking performance evaluation based on a reflective model and perturbation analysis", Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Taiwan, 2009
30. O. Tuzel, F. Porikli, P. Meer, "Human detection via classification on Riemannian manifolds", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2007 (oral) (Best paper prize)
31. Z. Yin, F. Porikli, R. Collins, "Likelihood map fusion for visual object tracking", IEEE Workshop on Application of Computer Vision (WACV), Colorado, 2008 (oral)
32. X. Mei, F. Porikli, "Joint tracking and video registration by factorial Hidden Markov Models", Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, 2008
33. F. Porikli, O. Tuzel, "Learning on Lie groups for invariant detection via tracking", International Workshop On Object Recognition, Lake Como, 2008 (Invited)
34. F. Porikli, Z. Yin, "Temporally static region detection in multi-camera systems", IEEE International Conference on Computer Vision (ICCV), PETS workshop, Rio De Janeiro, 2007 (oral)
35. F. Porikli, "Detection of temporarily static regions by processing video at different frame rates", IEEE Advanced Video and Signal based Surveillance (AVSS), London, 2007 (oral)
36. F. Bashir, F. Porikli, "Collaborative tracking of objects in EPTZ cameras", Proceedings of SPIE, Video Coding and Image Processing (VCIP), San Jose, 2007 (oral)
37. F. Porikli, T. Kocak, "Fast distance transform computation using dual scan line propagation", Proceedings of SPIE, Real-Time Imaging Conference, San Jose, 2007 (oral)
38. X. Mei, K. Zhou, F. Porikli, "Probabilistic visual tracking via robust template matching & incremental subspace update", IEEE International Conference on Multimedia and Expo (ICME), Beijing, 2007 (oral) (Best paper nomination)
39. F. Porikli, O. Tuzel, P. Meer, "Covariance tracking using model update based on Lie algebra", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), New York, 2006
40. F. Porikli, O. Tuzel, "Covariance tracker", Video Proceedings, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), New York, 2006
41. O.Tuzel, F. Porikli, P. Meer, "Region covariance: a fast descriptor for detection and classification", IEEE European Conference on Computer Vision (ECCV), Gratz, 2006 (oral)
42. F. Porikli, F. Bashir, "A complete performance evaluation platform including matrix-based measures for joint object detector and tracker systems", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) PETS Workshop, New York, 2006 (oral)
43. F. Porikli, O. Tuzel, "Fast construction of covariance matrices for arbitrary size image windows", IEEE International Conference on Image Processing (ICIP), Atlanta, 2006
44. J. Shao, R. Chellappa, F. Porikli, "Shape-regulated particle filtering for tracking non-rigid objects", IEEE International Conference on Image Processing (ICIP), Atlanta, 2006 (oral)
45. F.Porikli, T. Kocak, "Robust license plate detection using covariance descriptor in a neural network framework", IEEE Advanced Video and Signal based Surveillance (AVSS), Sydney, 2006 (oral)
46. F. Porikli, X. Mei "Automatic spatial alignment of visible and IR images by fast image registration via joint gradient maximization", Proceedings of SPIE Security & Defense, Electro-Optical Infrared Systems, Sweden, 2006 (oral)
47. F. Porikli, "Integral histogram: a fast way to extract histogram features", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Santa Barbara, 2005 (oral)
48. F. Porikli, J. Thornton, "Shadow flow: A recursive method to learn moving cast shadows", IEEE International Conference on Computer Vision (ICCV), Beijing, 2005
49. F. Porikli, J. Katz, E. Goubet, "Pedestrian tracking using thermal infrared imaging", Proceedings of SPIE Defense & Security Symposium (DSS), Orlando, 2006
50. F. Porikli, O. Tuzel, "Multi-kernel object tracking", IEEE International Conference on Multimedia and Expo (ICME), Amsterdam, 2005 (oral)
51. F. Porikli, "Multiplicative background-foreground estimation under uncontrolled illumination using intrinsic images", IEEE International Multi-Workshop - Motion, 2005 (oral)
52. F. Porikli, "Ambiguity detection by data fusion: spectral clustering approach", Proceedings of IEEE Int'l. Conference on Integration of Knowledge Intensive Multi-Agent Systems, 2005 (oral)
53. F. Porikli, J. Shao, H. Maehara, "Extracting roads from aerial images using feature based classifiers, Proceedings of IAPR Conference on Machine Vision Applications, Japan, 2005
54. F. Porikli, O. Tuzel, "Object tracking in low-frame-rate video", Proceedings of SPIE - Image and Video Communication and Processing, 2005 (oral)
55. O. Tuzel, F. Porikli, P. Meer, "A Bayesian approach to background modeling and low frame rate tracking", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on Real-time Machine Vision for Intelligent Vehicles, 2005 (oral)
56. F. Porikli, "Computationally efficient histogram extraction for rectangular image regions", Proceedings of Real-Time Image Processing, San Jose, 2005 (oral)
57. C. Wren, F. Porikli, "Waviz: spectral similarity for object detection", Proceedings of IEEE International Multi-Workshop - PETS, Breckenridge, 2005 (oral)
58. F. Porikli, O. Tuzel, "Bayesian background generation based foreground detection", 3rd ACM Workshop on Video Surveillance & Sensor Networks, ACM Multimedia, 2005 (oral)
59. F. Zilani, S. Velastin, F. Porikli, L. Marcenaro, T. Kelliher, A. Cavallaro, P. Bruneaut, "Performance evaluation of event detection solutions: the CREDS experience", I IEEE Advanced Video and Signal based Surveillance (AVSS), Italy, 2005 (oral)
60. F. Porikli, T. Haga, "Event detection by eigenvector decomposition using object and frame features", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on Human Modeling, Analysis and Synthesis, Washington DC, 2004 (oral)
61. F. Porikli, "Trajectory distance metric using Hidden Markov Model based representation", IEEE European Conference on Computer Vision (ECCV), Workshop on PETS, 2004 (oral)
62. F. Porikli, Clustering variable length sequences by eigenvector decomposition using HMMs", IEEE Int'l. Conference on Pattern Recognition (ICPR), Workshop SSPR, 2004 (oral)
63. F. Porikli, X. Li, "Traffic congestion analysis in compressed video without tracking", Proceedings of IEEE International Conference on Intelligent Vehicles, Parma, 2004
64. F. Porikli, "Trajectory pattern detection by HMM parameter space features and eigenvector clustering", IEEE International Conference on Multimedia and Expo (ICME), Taipei, 2004 (oral)
65. F. Porikli, "Nonlinear warping recovery by scan-line search using dynamic programming", IEEE International Conference on Image Processing (ICIP), Singapore, 2004 (oral)
66. X. Li, F. Porikli, "A hidden Markov model framework for traffic event detection using video features", IEEE International Conference on Image Processing (ICIP), Singapore, 2004 (oral)
67. F. Porikli, "Automatic image segmentation by solving Eikonal equation based on Gaussian mixture models", IS&T/SPIE Symposium on Electronic Imaging, San Jose, 2004 (oral)
68. F. Porikli, "Real-time video object segmentation for MPEG encoded video sequences", Proceedings of IS&T/SPIE Symposium on Electronic Imaging, San Jose, 2004 (oral)
69. F. Porikli, O. Tuzel, "Human body tracking by adaptive background models and mean-shift", IEEE International Conference on Computer Vision Systems (ICVS), Workshop on PETS, Gratz, 2003 (oral)
70. F. Porikli, "Road extraction by point-wise Gaussian models", 17th SPIE-Aero-Sense, Algorithms and Technologies for Multi-spectral, Hyper-spectral, Ultra-spectral Imagery Conference, Orlando, 2003
71. F. Porikli, "Sensitivity characteristics of cross-correlation distance metric and model function", Proceedings of Conference on Information Sciences and Systems, 2003, (oral)
72. F. Porikli, A. Divakaran, "Multi-camera calibration, object tracking and query generation", invited paper, IEEE International Conference on Multimedia and Expo (ICME), 2003, (oral)
73. F. Porikli, "Inter-camera color calibration by correlation model functions", Proceedings of IEEE International Conference on Image Processing (ICIP), Barcelona, 2003
74. F. Porikli, Y. Wang, "Constrained region extraction of video objects by color masks and MPEG-7 descriptors", IEEE International Conference on Multimedia and Expo (ICME), Lausanne, 2002 (oral)
75. F. Porikli, "Automatic threshold determination of centroid-linkage region growing by MPEG-7 dominant color descriptors", IEEE International Conference on Image Processing (ICIP), 2002
76. F. Porikli, "Accurate detection of edge orientation for color and multi spectral imagery", Proceedings of IEEE International Conference on Image Processing (ICIP), Rochester, 2001
77. F. Porikli, "Video object segmentation by volume growing using feature-based motion estimator", 16th Int'l. Symposium on Computer Information Sciences, 2001 (oral)
78. F. Porikli, Z. Sahinoglu, "An online renegotiation-based bandwidth management with circuit assignment for VBR traffic in communication networks", Proceedings of 6th SCI, 2002 (oral)
79. F. Porikli, Z. Sahinoglu, "Dynamic bandwidth allocation with optimal number of renegotiations in ATM networks", Proceedings of 10th IEEE ICCCN 2001, Scottsdale, Arizona, 2001(oral)
80. F. Porikli, "Image simplification by robust estimator based reconstruction filter", Proceedings of 16th International Symposium On Computer and Information Sciences, Antalya, 2001 (oral)
81. F. Porikli, Y. Wang, "An unsupervised multi-resolution object extraction algorithm using video-cubes", Proceedings of IEEE International Conference on Image Processing (ICIP), 2001
82. F. Porikli, "Object segmentation of color video sequences", Proceedings of International Conference on Computer Analysis of Images and Pattern, Warsaw, 2001
83. F. Porikli, T. Keaton, "Unsupervised road extraction algorithm in low-resolution satellite imagery", IEEE International Conference on Pattern Recognition and Remote Sensing, Andorra, 2000 (oral)
84. F. Porikli, Y. Wang, C. Swain, "Adaptive stripe based patch matching for depth estimation", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 1997 (oral)
85. F. Porikli, "Stripe mesh based disparity estimation by using 3-D Hough transform", IEEE International Conference on Image Processing (ICIP), Santa Barbara, 1997 (oral)
86. F. Porikli, Y. Wang, "Disparity estimation by patch matching", Proceedings of IEEE PCS, Munich, 1997 (oral)
    

PATENT DISCLOSURES:

1. F. Porikli, A. Joshi, "Method for multi-class classifier by binary feedback", pending, 2010
2. F. Porikli, "Method for radar target detection", pending, 2010
3. F. Porikli, A. Joshi, "Method for scene adapting object detector", pending, 2010
4. F. Porikli, P. Pan, "Method for regressed particle filter tracking", pending, 2009
5. F. Porikli, A. Joshi, "Method for online learning by sample selection", pending, 2009
6. F. Porikli, P. Pan, "Method for automatic tracker selection", pending, 2009
7. R. Yim, F. Porikli, J. Zhang, "Method for blurring based lane encoding", pending, 2009
8. F. Porikli, A. Ruta, " Apparatus for recognizing traffic signs", pending, 2009
9. O. Tuzel, F. Porikli, "Apparatus for semi-supervised mean-shift", pending, 2009
10. F. Porikli, A. Ruta, " Apparatus for recognizing traffic signs", pending, 2009
11. R. Yim, F. Porikli, "System for coding digital information in lane markings", pending, 2009
12. F. Porikli, T.Y. Lee, "A method for respiration phase estimation", pending, 2008
13. F. Porikli, P. Pan, "A regression method on Lie algebra for efficient sampling", pending, 2008
14. A. Joshi, F. Porikli, "A method for multi-class active learning for classification", pending, 2008
15. F. Porikli, M. Hussein, "A deformable boosting method", pending, 2008
16. F. Porikli, R. Li, "Method for image segmentation with shape prior", pending, 2008
17. F. Porikli, Q. Yuan, "A method for tracking soft tissue in ultrasound data", pending, 2008
18. F. Porikli, "A method for filtering images with bilateral filters", pending, 2007
19. F. Porikli, O. Tuzel, "Method and apparatus for tracking objects", pending, 2007
20. F. Porikli, "Method for filtering data with arbitrary kernel filters", pending, 2007
21. F. Porikli, Y. Ivanov, "Method for detecting objects left-behind in a scene", pending, 2007
22. Z. Sahinoglu, F. Porikli, "Constructing an energy matrix of a radio signal", pending, 2007
23. F. Porikli, O. Tuzel, "Method for constructing classifier on analytical manifolds", pending, 2006
24. F. Porikli, X. Mei, "Joint registration and tracking objects on moving cameras", pending, 2006
25. F. Porikli, X. Mei, D. Brinkman, "Method for forward/backward object tracking", pending, 2006
26. T. Parag, F. Porikli, "A method for online adaptation of classifiers", pending 2006
27. F. Porikli, O. Tuzel, "Apparatus for detecting humans in images", pending 2006
28. F. Porikli, X. Mei, "Apparatus for registration segmentation of multimodal data", pending, 2006
29. F. Porikli, O. Tuzel, "A descriptor based on multiple covariance matrices", pending, 2005
30. F. Porikli, J. Thornton "A moving cast shadow learning method", pending, 2005
31. F. Porikli, "Integral histogram computation: fast feature generation", pending, 2005
32. F. Porikli, "Method for generating intrinsic background and foreground images", pending, 2005
33. F. Porikli, O. Tuzel, "A Bayesian update method for background layers", pending, 2005
34. F. Porikli, "Recovering a non-linear warping function by scan-line searching", (20060044578)
35. F. Porikli, J. Shao, "Detecting roads in images using feature-based classifiers", pending, 2004
36. K. Peker, F. Porikli, "Bayesian classifier for filtering object detection outputs", pending, 2004
37. C Wren, F. Porikli, "Cyclostationary and spectral similarity for object detection", pending, 2004
38. F. Porikli, "Method for usual event detection using time series", (20050285937)
39. F. Porikli, "Hidden Markov model based object tracking and similarity metrics", (20050288911)
40. F. Porikli, X. Li, "Traffic event detection in compressed video", (20050190975)
41. F. Porikli, "Method for determining similarities between data sequences using cross-correlation matrices and deformation functions", (20050102107)
42. F. Porikli, "Image compensation method using color histograms and transfer functions", 2003
43. F. Porikli, "Wave-propagation based image segmentation method", (20050213816)
44. F. Porikli, "Dynamic programming distance metrics to measure dissimilarity of signals", 2003
45. F. Porikli, "Identifying moving objects in a video using volume growing and change detection masks", (20030118214)
46. F. Porikli, H. Sun, "Apparatus for decoding a video bitstream into reduced spatial resolutions", (20030210744)
47. F. Porikli, O. Tuzel, "Adaptive background image update for stationary video cameras", (20040239762)
48. F. Porikli, H. Sun, "Video object segmentation method in the compressed domain", (20040233987)
49. F. Porikli, "Threshold assignment by MPEG-7 dominant color descriptor", pending, 2002
50. F. Porikli, "Adaptive thresholds using separate channel histogram maxima", (20040130546)
51. F. Porikli, "Image simplification using a reconstruction filter", (20030095719)
52. F. Porikli, "Method for determining compactness ratios of multiple data and signal sets", (20020181778)
53. F. Porikli, Z. Sahinoglu, "Method and system for minimizing error in bandwidth allocation with an optimal number of renegotiations", (20020176369)
54. F. Porikli, "A method for adaptive threshold assignment using color vector clustering", 2002
55. Z. Sahinoglu, F. Porikli, F. Matsubara, "Method and system for assigning circuits to a new service request in a communications networks", (7,209,438)
56. F. Porikli, Y. Wang, "Unsupervised multi-resolution object extraction algorithm using video cubes", (20020176625)
57. F. Porikli, T. Keaton, "A method for accurate edge orientation detection from color and multi-channel imagery by using line-to-vector transform", (20030223615)
58. F. Porikli, Y. Wang, C. Swain, "Adaptive stripe based patch matching", 1998

FUN:

• US Citizen
• Skiing, electronic music, ancient history
• C++, C, MATLAB, CUDA, Turbo Pascal, Assembly, OpenCV, OpenGL, DirectX