Motion analysis of omnidirectional video streams for a mobile sentry

1st ACM SIGMM International Workshop on Video Surveillance, IWVS 2003

Volumn , Issue , 2003, Pages 49-58

  Gandhi, Tarak ^a   Trivedi, Mohan M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Dynamic vision; Intruder detection; Mobile robots; Motion detection; Optical flow; Panoramic vision; Surveillance

Indexed keywords

BAYESIAN NETWORKS; CAMERAS; INTRUSION DETECTION; MOBILE PHONES; MOBILE ROBOTS; MONITORING; MOTION COMPENSATION; OPTICAL FLOWS; SECURITY SYSTEMS; SPACE SURVEILLANCE; VEHICLES; VIDEO STREAMING;

BAYESIAN APPROACHES; DYNAMIC VISION; INTRUDER DETECTION; MOTION DETECTION; OMNI-DIRECTIONAL VIDEO STREAM; OMNIDIRECTIONAL VISION SENSOR (ODVS); PANORAMIC VISION; PARAMETRIC EGO-MOTION;

MOTION ANALYSIS;

EID: 3042682968     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/982452.982459     Document Type: Conference Paper

References (34)

1. O. Achler and M. Trivedi. Real-time traffic flow analysis using omnidirectional video network and flatplane transformation. In Workshop on Intelligent Transportation Systems, Chicago, IL, 2002.
2. Y. Bar-Shalom, X. R. Li, and T. Kirubarajan. Estimation with applications to tracking and navigation. John Wiley and Sons, 2001.
3. R. Benosman and S. B. Kang. Panoramic Vision: Sensors, Theory, and Applications. Springer, 2001.
4. M. J. Black and P. Anandan. The robust estimation of multiple motions: Parametric and piecewise-smooth flow fields. Computer Vision and Image Understanding, 63(1):75-104, 1996.
5. S. Carlsson and J. O. Eklundh. Object detection using model-based prediction and motion parallax. In European Conference on Computer Vision, pages 297-306, April 1990.
6. P. Chang and M. Herbert. Omni-directional structure from motion. In IEEE Workshop on Omnidirectional Vision, pages 127-133, Hilton Head Island, June 2000. IEEE Computer Society.
7. K. Daniilidis, A. Makadia, and T. Bulow. Image processing in catadioptric planes: Spatiotemporal derivatives and optical flow computation. In IEEE Workshop on Omnidirectional Vision, pages 3-12, June 2002.
8. G. Danuser and M. Stricker. Parametric model fitting: From inlier characterization to outlier detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(2):263-280, March 1998.
9. K. L. Dean. Smartcams take aim at terrorists. Wired News, June 2003. http://cvrr.ucsd.edu/press/articles/Wired News Smartcams.html.
10. O. Faugeras. Three-Dimensional Computer Vision: A Geometric Viewpoint. The MIT Press, Cambridge, MA, 1993.
11. T. Gandhi, S. Devadiga, R. Kasturi, and O. Camps. Detection of obstacles using ego-motion compensation and tracking of significant features. Image Vision and Computing, 18(10):805-815, 2000.
12. T. Gandhi and R. Kasturi. Application of planar motion segmentation for scene text extraction. In Int. Conf. on Pattern Recognition, volume 1, pages 445-449, 2000.
13. J. Gluckman and S. Nayar. Ego-motion and omnidirectional cameras. In Proceedings of the International Conference on Computer Vision, pages 999-1005, 1998.
14. T. B. Hall and M. M. Trivedi. A novel interactivity environment for integrated intelligent transportation and telematic systems. In 5th International IEEE Conference on Intelligent Transportation Systems, Singapore, September 2002.
15. Haritaoglu, D. Harwood, and L. S. Davis. W4: Real-time surveillance of people and their activities. IEEE Transaction on Pattern Analysis and Machine Intelligence, 22(8):809-830, Aug. 2000.
16. B. Horn and B. Schunck. Determining optical flow. In DARPA81, pages 144-156, 1981.
17. K. Huang, M. Trivedi, and T. Gandhi. Driver's view and vehicle surround estimation using omnidirectional video stream. In IEEE Conference on Intelligent Vehicles, Columbus, OH, June 2003.
18. K. C. Huang and M. M. Trivedi. Video arrays for real-time tracking of persons, head and face in an intelligent room. Machine Vision and Applications, 14(2):103-111, 2003.
19. M. Irani and P. Anandan. A unified approach to moving object detection in 2D and 3D scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(6):577-589, June 1998.
20. B. Jähne, H. Haußecker, and P. Geißler. Handbook of Computer Vision and Applications, volume 2, chapter 14, pages 397-422. Academic Press, San Diego, CA, 1999.
21. K. Kanatani. Geometric Computation for Machine Vision. Oxford University Press, Oxford, 1993.
22. Q. Ke and T. Kanade. Transforming camera geometry to a virtual downward-looking camera: robust ego-motion estimation and ground-layer detection. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, volume I, pages 390-397, June 2003.
23. W. Kruger. Robust real time ground plane motion compensation from a moving vehicle. Machine Vision and Applications, 11:203-212, 1999.
24. S. Lawson. Yes, you are being watched. PC World, December 27, 2002. http://www.pcworld.com/news/article/0, aid, 108121, 00.asp.
25. B. Lucas and T. Kanade. An iterative image registration technique with an application to stereo vision. In International Joint Conference on Artificial Intelligence, pages 674-679, 1981.
26. J. M. Odobez and P. Bouthemy. Direct incremental model-based image motion segmentation for video analysis. Signal Processing, 66:143-145, 1998.
27. D. Ramsey. Researchers work with public agencies to enhance super bowl security, February 15 2003. http://www.calit2.net/news/2003/2-4 superbowl.html.
28. M. Saptharishi, J. B. Hampshire, and P. K. Khosla. Agent-based moving object correspondence using differential discriminative diagnosis. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, volume II, pages 652-658, June 2000.
29. O. Shakernia, R. Vidal, and S. Sastry. Omnidirectional egomotion estimation from back-projection flow. In IEEE Workshop on Omnidirectional Vision (in conjunction with CVPR), June 2003.
30. J. Shi and C. Tomasi. Good features to track. In IEEE Conference on Computer Vision and Pattern Recognition, pages 593-600, 1994.
31. E. P. Simoncelli. Coarse-to-fine estimation of visual motion. In Proc. Eighth Workshop on Image and Multidimensional Signal Processing, pages 128-129, Cannes, France, 1993.
32. C. Stauffer and W. E. L. Grimson. Adaptive background mixture model for real-time tracking. In Proceedings of IEEE Int'l Conference on Computer Vision and Pattern Recognition, pages 246-252, 1999.
33. E. Trucco and A. Verri. Computer vision and applications: A guide for students and practitioners. Prentice Hall, March 1998.
34. R. F. Vassallo, J. Santos-Victor, and H. J. Schneebeli. A general approach for egomotion estimation with omnidirectional images. In IEEE Workshop on Omnidirectional Vision, pages 97-103, June 2002.