Scheduling an active camera to observe people

VSSN'04 - Proceedings of the ACM Second International Workshop on Video Sureveillance and Sensor Networks

Volumn , Issue , 2004, Pages 39-45

  Costello, Cash J ^a   Diehl, Christopher P ^a   Banerjee, Amit ^a   Fisher, Hesky ^a  

^a JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

Active Imaging; Scheduling; Video Surveillance

Indexed keywords

ARTIFICIAL INTELLIGENCE; IDENTIFICATION (CONTROL SYSTEMS); OBSERVABILITY; PACKET NETWORKS; REAL TIME SYSTEMS; ROUTERS; SCHEDULING; SECURITY SYSTEMS;

ACTIVE IMAGING; REMOTE IDENTIFICATION; VIDEO SURVEILLANCE;

VIDEO CAMERAS;

EID: 14944347909     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1026799.1026808     Document Type: Conference Paper

References (16)

1. A. Bar-Noy, S. Guha, J. Naor, and B. Schieber. Approximating the throughput of multiple machines in real-time scheduling. SIAM Journal on Computing, 31(2):331-352, 2002.
2. J. Batista, P. Peixoto, and H. Araujo. Real-time active visual surveillance by integrating peripheral motion detection with foveated tracking. In Proceedings of the IEEE Workshop on Visual Surveillance, pages 18-25, 1998.
3. D. Comaniciu, F. Berton, and V. Ramesh. Adaptive resolution system for distributed surveillance. Real Time Imaging, 8(5):427-437, 2002.
4. T. Darrell, B. Moghaddam, and A. Pentland. Active face tracking and pose estimation in an interactive room. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 67-72, 1996.
5. C. P. Diehl and J. B. Hampshire II. Real-time object classification and novelty detection for collaborative video surveillance. In Proceedings of the 2002 International Joint Conference on Neural Networks, volume 3, pages 2620-2625, 2002.
6. R. L. Givan, E. K. P. Chong, and H. S. Chang. Scheduling multiclass packet streams to minimize weighted loss. Queueing Syst. Theory Appl., 41(3):241-270, 2002.
7. A. Hampapur, S. Pankanti, A. Senior, Y.-L. Tian, L. Brown, and R. Bolle. Face cataloger: Multi-scale imaging for relating identity to location. In IEEE Conference on Advanced Video and Signal Based Surveillance, Miami, FL, 2003.
8. J. R. Jackson. Scheduling a production line to minimize maximum tardiness. Research Report 43, Management Science, University of California, Los Angeles, CA, 1955.
9. O. Javed and M. Shah. Tracking and object classification for automated surveillance. In The seventh European Conference on Computer Vision, Copenhagen, 2002.
10. T. Ling and N. Shroff. Scheduling real-time traffic in atm networks. In Proc. of IEEE INFOCOM, pages 198-205, 1996.
11. A. Senior, A. Hampapur, Y.-L. Tian, L. Brown, S. Pankanti, and R. Bolle. Appearance models for occlusion handling. In Workshop on Performance Evaluation of Tracking and Surveillance, 2001.
12. J. Sgall. On-line scheduling - a survey. In A. Fiat and G. Woeginger, editors, On-Line Algorithms: The State of the Art, Lecture Notes in Computer Science, pages 196-231. Springer-Verlag, 1998.
13. C. Stauffer and W. E. L. Grimson. Learning patterns of activity using real time tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(8):747-767, 2000.
14. S. Stillman, R. Tanawongsuwan, and I. Essa. A system for tracking and recognizing multiple people with multiple cameras. Technical Report GIT-GVU-98-25, Georgia Institute of Technology, Graphics, Visualization, and Usability Center, 1998.
15. M. Trivedi, K. Huang, and I. Mikic. Intelligent environments and active camera networks. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, volume 2, pages 804-809, 2000.
16. X. Zhou, R. Collins, T. Kanade, and P. Metes. A master-slave system to acquire biometric imagery of humans at a distance. In ACM SIGMM 2003 Workshop on Video Surveillance, Berkeley, CA, 2003.