Towards intelligent camera networks: A virtual vision approach

Proceedings - 2nd Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, VS-PETS

Volumn 2005, Issue , 2005, Pages 177-184

  Qureshi, Faisal Z ^a   Terzopoulos, Demetri ^a,b  

^a UNIVERSITY OF TORONTO   (Canada)

^b NEW YORK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; SENSORS; TRACKING (POSITION); VIDEO CAMERAS;

CAMERA NETWORK; MACHINE VISION SYSTEMS; VIRTUAL CAMERAS;

INTELLIGENT AGENTS;

EID: 33845348885     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VSPETS.2005.1570913     Document Type: Conference Paper

References (17)

1. D. Terzopoulos and T. Rabie, "Animat vision: Active vision in artificial animals," Videre: Journal of Computer Vision Research, vol. 1, pp. 2-19, September 1997.
2. D. Terzopoulos, "Perceptive agents and systems in virtual reality," in Proc. 10th ACM Symposium on Virtual Reality Software and Technology, (Osaka, Japan), pp. 1-3, October 2003.
3. W. Shao and D. Terzopoulos, "Autonomous pedestrians," in Proc. ACM SIGGRAPH/Eurographics Symposium on Computer Animation, (Los Angeles, CA), pp. 19-28, July 2005.
4. C. Intanagonwiwat, R. Govindan, D. Estin, J. Heidemann, and F. Silva, "Directed diffusion for wireless sensor networking," IEEE/ACM Transactions on Networking, vol. 11, pp. 2-16, February 2003.
5. A. Ihler, J. Fisher, R. Moses, and A. Willsky, "Nonparametric belief propagation for self-calibration in sensor networks," in P roc. Third International Symposium on Information Processing in Sensor Networks, (Berkeley, CA), pp. 225-233, April 2004.
6. D. Marinakis, G. Dudek, and D. Fleet, "Learning sensor network topology through Monte Carlo expectation maximization," in Proc. IEEE Intl. Conf. on Robotics and Automation, (Barcelona, Spain), April 2005.
7. R. Collins, O. Amidi, and T. Kanade, "An active camera system for acquiring multi-view video," in Proc. International Conference on Image Processing, (Rochester, NY), pp. 517-520, September 2002.
8. S. Khan and M. Shah, "Consistent labeling of tracked objects in multiple cameras with overlapping fields of view," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, pp. 1355-1360, October 2003.
9. F. Pedersini, A. Sarti, and S. Tubaro, "Accurate and simple geometric calibration of multi-camera systems," Signal Processing, vol. 77, no. 3, pp. 309-334, 1999.
10. T. Gandhi and M. M. Trivedi, "Calibration of a reconfigurable array of omnidirectional cameras using a moving person," in Proc. 2nd ACM International Workshop on Video Surveillance and Sensor Networks, (New York, NY), pp. 12-19, ACM Press, 2004.
11. J. Kang, I. Cohen, and G. Medioni, "Multi-views tracking within and across uncalibrated camera streams," in Proc. First ACM SIGMM International Workshop on Video Surveillance, (New York, NY), pp. 21-33, ACM Press, 2003.
12. N. T. Siebel, Designing and Implementing People Tracking Applications for Automated Visual Surveillance. PhD thesis, Dept. of Computer Science. The University of Reading., UK, March 2003.
13. R. Collins, A. Lipton, H. Fujiyoshi, and T. Kanade, "Algorithms for cooperative multisensor surveillance," Proceedings of the IEEE, vol. 89, pp. 1456-1477, October 2001.
14. C. J. Costello, C. P. Diehl, A. Banerjee, and H. Fisher, "Scheduling an active camera to observe people," in Proc. 2nd ACM International Workshop on Video Surveillance and Sensor Networks, (New York, NY), pp. 39-45, ACM Press, 2004.
15. J. Funge, X. Tu, and D. Terzopoulos, "Cognitive modeling: Knowledge, reasoning and planning for intelligent characters," in Proc. ACM SIGGRAPH 99 (A. Rockwood, ed.), pp. 29-38, Aug. 1999.
16. F. Qureshi, D. Terzopoulos, and P. Jaseiobedzki, "Cognitive vision for autonomous satellite rendezvous and docking," in Proc. IAPR Conference on Machine Vision Applications, (Tsukuba Science City, Japan), pp. 314-319, May 2005.
17. F. Qureshi and D. Terzopoulos, "Surveillance camera scheduling: A virtual vision approach," in Proc. Third ACM International Workshop on Video Surveillance and Sensor Networks, (Singapore), November 2005. In press.