Detecting abandoned packages in a multi-camera video surveillance system

Proceedings - IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2003

Volumn , Issue , 2003, Pages 221-228

  Beynon, M D ^a   Van Hook, D J ^a   Seibert, M ^a   Peacock, A ^a   Dudgeon, D ^a,b  

^a MIT LINCOLN LABORATORY   (United States)

^b BAE SYSTEMS   (United States)

Author keywords

Cameras; Event detection; Laboratories; Layout; Object detection; Packaging; Real time systems; Shape; Video surveillance; Videoconference

Indexed keywords

CAMERAS; INTERACTIVE COMPUTER SYSTEMS; LABORATORIES; MONITORING; OBJECT DETECTION; OBJECT RECOGNITION; PACKAGING; REAL TIME SYSTEMS; SIGNAL DETECTION; VIDEO CAMERAS;

EVENT DETECTION; LAYOUT; SHAPE; VIDEO SURVEILLANCE; VIDEOCONFERENCE;

SECURITY SYSTEMS;

EID: 42549090493     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2003.1217925     Document Type: Conference Paper

References (17)

1. ObjectVideo. http://www.objectvideo.com/, 2002.
2. Open computer vision library. http://sourceforge.net/projects/opencvlibrary/, 2002.
3. J. Bowles, J. Antoniades, J. Skibo, M. Daniel, D. Haas, J. Grossmann, and M. Baumback. On-board hyperspectral compression and analysis system for the nemo satellite. In Proceeding of SPIE Conference on Infrared Spaceborne Remote Sensing VI, pages 20-28, San Diego, CA, July 1998.
4. S. L. Dockstader and A. M. Tekalp. Multiple camera fusion for multi-object tracking. In IEEE Workshop on Multi-Object Tracking, pages 95-102, Vancouver, Canada, July 2001.
5. R. O. Duda, P. E. Hart, and D. G. Stork. Pattern Classification, chapter 2. John Wiley and Sons, Inc., New York, NY, 2nd edition, 2001.
6. D. Gibbins, G. Newsam, and M. Brooks. Detecting suspicious background changes in video surveillance of busy scenes. In Proceedings of 3rd IEEE Workshop on Applications of Computer Vision, pages 22-26, 1996.
7. M. Harville, G. Gordon, and J. Woodfill. Foreground segmentation using adaptive mixture models in color and depth. In Proceedings of the IEEE Workshop on Detection and Recognition of Events in Video, Vancouver, Canada, July 2001.
8. T. Horprasert, D. Harwood, and L. Davis. A statistical approach for real-time robust background subtraction and shadow detection. In Proc. IEEE ICCV'99 FRAME-RATE Workshop, Kerkyra, Greece, September 1999.
9. S. S. Intille and A. F. Bobick. Recognizing planned, multiperson action. Computer Vision and Image Understanding, 81:414-445, 2001.
10. D. H. Johnson and D. E. Dudgeon. Array Signal Processing: Concepts and Techniques, chapter 8. PTR Prentice-Hall, Englewood Cliffs, NJ, 2nd edition, 1993.
11. R. Jonker and A. Volgenant. A shortest augmenting path algorithm for dense and sparse linear assignment problems. Computing, 38:325-340, 1987.
12. J. Krumm, S. Harris, B. Meyers, B. Brumitt, M. Hale, and S. Shafer. Multi-camera multi-person tracking for easyliving. In Third IEEE International Workshop on Visual Surveillance, Dublin, Ireland, July 2000.
13. 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 Seventh European Conference on Computer Vision (ECCV), Copenhagen, Denmark, May 2002.
14. F. Porikli. Object segmentation of color video sequences. In Proc. 9th International Conference on Computer Analysis of Images and Patterns, pages 610-619, Warsaw, Poland, September 2001.
15. C. Stauffer and W. Grimson. Adaptive background mixture models for real-time tracking. In IEEE Conference on Computer Vision and Pattern Recognition, volume 2, pages 246-252, June 1999.
16. E. Stringa and C. S. Regazzoni. Real-time video-shot detection for scene surveillance applications. IEEE Transactions on Image Processing, 9(1):69-79, January 2000.
17. J. Wang and W. Ooi. Detecting static objects in busy scenes. Technical Report TR99-1730, Department of Computer Science, Cornell University, February 1999.