Body parts detection for people tracking using trees of Histogram of Oriented Gradient descriptors

Proceedings - IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2010

Volumn , Issue , 2010, Pages 469-475

  Corvee, Etienne ^a   Bremond, Francois ^a  

^a INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

FORESTRY; GRAPHIC METHODS; TREES (MATHEMATICS);

BACKGROUND REFERENCES; DETECTION AND TRACKING; DETECTION PERFORMANCE; HIERARCHICAL TREE; HISTOGRAM OF ORIENTED GRADIENTS; STATE-OF-THE-ART PERFORMANCE; VIDEO-SURVEILLANCE APPLICATIONS; VISION ALGORITHMS;

SECURITY SYSTEMS;

EID: 78449269340     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2010.51     Document Type: Conference Paper

References (22)

1. A. Adam, E. Rivlin, and I. Shimshoni. Robust fragment-based tracking using integral histogram. In Computer Vision and Pattern Recognition - CVPR, 2006.
2. CAVIAR. Context Aware Vision using Image based Active Recognition. In http://www.homepage.inf.ed.ac.uk/rbf/CAVIAR/.
3. D. P. Chau, F. Bremond, E. Corvee, and M. Thonnat. Repairing people trajectories based on point clustering. In In the International Conference on Computer Vision Theory and Applications (VISAPP), 2009.
4. N. Dalal and B. Triggs. Histograms of Oriented Gradients for Human Detection. In Computer Vision and Pattern Recognition - CVPR, 2005.
5. P. Dollar, C. Wojek, B. Schiele, and P. Perona. Pedestrian detection: a benchmark. In CVPR, 2009.
6. M. Hussein, F. Porikli, and L. Davis. Object detection via boosted deformable features. IEEE International Conference on Image Processing (ICIP), 2009.
7. M. Jones, P. Viola, P. Viola, M. J. Jones, D. Snow, and D. Snow. Detecting pedestrians using patterns of motion and appearance. In In ICCV, pages 734-741, 2003.
8. S. Kong, M. Bhuyan, C. Sanderson, and B. Lovell. Tracking of persons for video srveillance of unattended environments. In 19th International Conference on Pattern Recognition (ICPR2008), 2008.
9. I. Laptev. Improvements of object detection using boosted histograms. In Proceedings of the British Machine Vision Conference, 2006.
10. D. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60, 2:91-110, 2004.
11. K. Mikolajczyk, B. Leibe, and B. Schiele. Multiple object class detection with a generative model. CVPR, 2006.
12. K. Mikolajczyk, C. Schmid, and A. Zisserman. Human detection based on a probabilistic assembly of robust part detectors. In ECCV, 2004.
13. A. Mohan, C. Papageorgiou, and T. Poggio. Example-based object detection in images by components. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23:349-361, 2001.
14. OpenCv. Intel Open Source Computer Vision Library. In http://sourceforge.net/projects/opencvlibrary/.
15. C. Papageorgiou and T. Poggio. Trainable pedestrian detection. In International Conference on Image Processing: ICIP99, 1999.
16. F. Porikli. Integral histogram: a fast way to extract histogram in cartesian space. In CVPR, 2005.
17. V. K. Singh, B. Wu, and R. Nevatia. Pedestrian tracking by associating trackets using detection residuals. IEEE Workshop on Motion and video Computing (WMVC), pages 1-8, 2008.
18. A. Smeaton, P. Over, and W. Kraaij. Evaluation campaigns and TRECVid,. In MIR'06: Proceedings of the 8th ACM International Workshop on Multimedia Information Retrieval, 2006.
19. O. Tuzel, F. Porikli, and P. Meer. Pedestrian detection via classification on riemannian manifolds. PAMI, 30(10), 2008.
20. P. Viola and M. Jones. Robust real-time face detection. In International Journal of Computer Vision, 2004.
21. B. Wu and R. Nevatia. Detection and tracking of multiple, partially occluded humans by bayesian combination of edgelet based part detectors. CVPR, pages 951-958, 2006.
22. Q. Zhu, S. Avidan, M. Yeh, and K. Cheng. Fast human detection using a cascade of histograms of oriented gradients. In Computer Vision and Pattern Recognition - CVPR, 2006.