Detecting and counting people in surveillance applications

IEEE International Conference on Advanced Video and Signal Based Surveillance - Proceedings of AVSS 2005

Volumn 2005, Issue , 2005, Pages 306-311

  Liu, X ^a   Tu, P H ^a   Rittscher, J ^a   Perera, A ^a   Krahnstoever, N ^a  

^a GE GLOBAL RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COUNTING SYSTEMS;

ALGORITHMS; IMAGE SEGMENTATION; ROBUSTNESS (CONTROL SYSTEMS); TRACKING (POSITION);

FACE RECOGNITION;

EID: 33847004363     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2005.1577286     Document Type: Conference Paper

References (15)

1. H. Chui and A. Rangarajan. A new point matching algorithm for non-rigid registration. Computer Vision and Image Understanding, 89(3):114-141, March 2003.
2. D. Gavrila. Pedestrian detection from a moving vehicle. In Proc. 6th European Conf. Computer Vision, Dublin, Ireland, volume 2, pages 37-49, 2000.
3. J. Giebel, D.M. Gavrila, and C. Schnörr. A bayesian framework for multi-cue 3d object tracking. In Proc. 8th European Conf. Computer Vision, Prague, Czech Republic, pages 241-252, 2004.
4. I. Haritaoglu, D. Harwood, and L. S. Davis. HYDRA: Multiple people detection and tracking using silhouettes. In In IEEE International Workshop on Visual Surveillance, pages 6-13, 1999.
5. R. Hartley and A. Zisserman. Multiple view geometry in computer vision. Cambridge University Press, 2000.
6. S. Ioffe and D.A. Forsyth. Probabilistic methods for finding people. Int. J. Computer Vision, 43(1):45-68, June 2001.
7. C. Schmid K. Mikolajczyk and A. Zisserman. Human detection based on a probabilistic assembly of robust part detectors. In Proc. 8th European Conf. Computer Vision, Prague, Czech Republic, volume 1, pages 69-82, 2004.
8. N. Krahnstoever and P. Mendonca. Bayesian auto calibration for surveillance. Technical Report GRC Some Number, GE Global Research, 2005.
9. A. Mittal and L.S. Davis. M2tracker: A multi-view approach to segmenting and tracking people in a cluttered scene using region-based stereo. In Proc. 7th European Conf. Computer Vision, Kopenhagen, Danmark, volume X, pages 18-33, 2002.
10. C. Nakajima, M. Pontil, B. Heisele, and T. Poggio. People recognition in image sequences by supervised learning. In MIT AI Memo, 2000.
11. J. Rittscher, P. Tu, and N. Krahnstoever. Simultaneous estimation of segmentation and shape. Technical report, 2005.
12. A. W. Senior. Tracking with probabilistic appearance models. In ECCV workshop on Performance Evaluation of Tracking and Surveillance Systems, pages 48-55, 2002.
13. Danny B. Yang, Héctor H. González-Baños, and Leonidas J. Guibas. Counting people in crowds with a real-time network of simple image sensors. In Proc. 9th Int. Conf. on Computer Vision, Nice, France, pages 122-129, 2003.
14. T. Zhao and R. R. Nevatia. Bayesian human segmentation in crowded situations. In IEEE Computer Vision and Pattern Recognition, Madison, Wisconsin, volume 2, pages 459-466, 2003.
15. T. Zhao and R. R. Nevatia. Tracking multiple humans in complex situations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(9):1208- 1221, September 2004.