Real-time image processing for active monitoring of wide areas

Journal of Visual Communication and Image Representation

Volumn 17, Issue 3, 2006, Pages 589-604

  Micheloni, Christian ^a   Foresti, Gian Luca ^a  

^a UNIVERSITY OF UDINE   (Italy)

Author keywords

Active tracking; Feature selection; Mobile camera; Object detection

Indexed keywords

ANGLE MEASUREMENT; IMAGE SENSORS; KALMAN FILTERING; MOTION PICTURE CAMERAS; VIDEO SIGNAL PROCESSING; VISUAL COMMUNICATION;

ACTIVE TRACKING; FEATURE SELECTION; MOBILE CAMERA; OBJECT DETECTION; REAL TIME IMAGING;

IMAGE PROCESSING;

EID: 33646354142     PISSN: 10473203     EISSN: 10959076     Source Type: Journal    
DOI: 10.1016/j.jvcir.2005.08.002     Document Type: Article

References (39)

1. Regazzoni C., Ramesh V., and Foresti G. Special issue on video communications, processing, and understanding for third generation surveillance systems. Proc. IEEE 89 10 (2001)
2. Y.Y.L. Davis, R. Chellapa, Q. Zheng, Visual surveillance and monitoring of human and vehicular activity, in: Proceedings of DARPA97 Image Understanding Workshop, 1997, pp. 19-27.
3. R. Howarthand, H. Buxton, Visual surveillance monitoring and watching, in: In European Conference on Computer Vision, Cambridge, UK, Apr. 15-18. 1996, pp. 321-334.
4. T. Kanade, R. Collins, A. Lipton, P. Burt, L. Wixson, Advances in cooperative multisensor video surveillance, in: Proceedings of DARPA Image Understanding Workshop, vol. 1, Nov. 1998, pp. 3-24.
5. Foresti G., Mahonen P., and Regazzoni C. Multimedia Video-Based Surveillance Systems: from User Requirements to Research Solution (2000), Kluwer Academic Publisher
6. Kim C., and Hwang J. Object-based video abstraction for video surveillance systems. IEEE Trans. Circuits Syst. Video Technol. 12 12 (2002) 1128-1138
7. Veeraraghavan H., Masoud O., and Papanikolopoulos N. Computer vision algorithms for intersection monitoring. IEEE Trans. Intell. Transport. Syst. 4 2 (2003) 78-89
8. Kumar P., Ranganath S., Weimin H., and Sengupta K. Framework for real-time behavior interpretation from traffic video. IEEE Trans. Intell. Transport. Syst. 6 1 (2005) 43
9. Ben-Arie J., Zhiqian W., Pandit P., and Rajaram S. Human activity recognition using multidimensional indexing. IEEE Trans. Pattern Anal. Mach. Intell. 24 8 (2002) 1091-1104
10. Dockstader S., and Tekalp A. Multiple camera tracking of interacting and occluded human motion. Proc. IEEE 89 10 (2001) 1441-1455
11. J. Gluckman, S. Nayar, Ego-motion and omnidirectional camera, in: IEEE International Conference on Computer Vision, Bombay, India, Jan. 3-5, 1998, pp. 999-1005.
12. Gandhi T., and Trivedi M.M. Parametric ego-motion estimation for vehicle surround analysis using an omnidirectional camera. Mach. Vis. Appl. 16 2 (2005) 85-95
13. A. Davison, I.D. Reid, D. Murray, The active camera as a projective pointing device, in: Proceedings of 6th British Machine Vision Conference, Birmingham UK, Sept. 11-14, 1999.
14. Murray D., and Basu A. Motion tracking with an active camera. IEEE Trans. Pattern Anal. Mach. Intell. 19 5 (1994) 449-454
15. R. Okada, Object tracking based on optical flow and depth, in: IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Washington D.C., Dec. 1996, pp. 565-571.
16. Irani M., and Anandan P. A unified approach to moving object detection in 2d and 3d scenes. IEEE Trans. Pattern Anal. Mach. Intell. 20 6 (1998) 577-589
17. Araki S., Matsuoka T., Yokoya N., and Takemura H. Real-time tracking of multiple moving object contours in a moving camera image sequences. IEICE Trans. Informat. Syst. E83-D 7 (2000) 1583-1591
18. Radke R., Andra S., Al-Kofai O., and Roysam B. Image change detection algorithms: a systematic survey. IEEE Trans. Image Proces. 14 3 (2005) 294-307
19. 4: real-time surveillance of people and their activities. IEEE Trans. Pattern Anal. Mach. Intell. 22 8 (2000) 809-830
20. Matsuyama T., and Ukita N. Real-time multitarget tracking by a cooperative distributed vision system. Proc. IEEE 90 7 (2002) 1136-1149
21. Yiming Y., Bennet K., Tsotsos J., and Harley E. Tracking a person with pre-recorded image database and a pan, tilt and zoom camera. Mach. Vis. Appl. 12 1 (2000) 32-43
22. Zitova B., and Flusser J. Image registration methods: a survey. Image Vis. Comput. 21 (2003) 977-1000
23. J. Shi, C. Tomasi, Good features to track, in: IEEE International Conference on Computer Vision and Pattern Recognition, Seattle WA, June 20-24, 1994, pp. 593-600.
24. T. Tommasini, A. Fusiello, E. Trucco, V.Roberto, Making good features track better, in: IEEE International Conference on Computer Vision and Pattern Recognition, Santa Barbara, CA, June 23-25, 1998, pp. 178-183.
25. Sugaya Y., and Kanatani K. Outlier removal for motion tracking by subspace separation. IEICE Trans. Informat. Syst. E86-D 6 (2003) 1095-1102
26. Y. Sugaya, K. Kanatani, Extracting moving objects from a moving camera video sequence, in: 10th Symposium on Sensing and Image Information, Yokohama, Japan, June 9-11, 2004, pp. 279-284.
27. G. Guo, C. Dyer, Z. Zang, Linear combination representation for outlier detection in motion tracking, in: IEEE International Conference on Computer Vision and Pattern Recognition, vol. 2, no. 2, San Diego, CA, USA, June 20-25, 2005, pp. 274-281.
28. K. Kanatani, Camera rotation invariance of image characteristics, in: IEEE International Conference on Computer Vision and Pattern Recognition, Miami Beach (FL), June 1986.
29. Foresti G., and Micheloni C. A robust feature tracker for active surveillance of outdoor scenes. Electron. Lett. Comput. Vis. Image Anal. 1 1 (2003) 21-36
30. C. Tomasi, T. Kanade, Detection and tracking of point features, Carnegie Mellon University, Pittsburgh PA, Tech. Rep. CMU-CS-91-132, 1991.
31. Kapur J.N., Sahoo P.K., and Wong A.K.C. A new method for gray-level picture thresholding using the entropy of the histogram. Graphic. Models Image Process. 29 (1985) 273-285
32. B. Lucas, T. Kanade, An iterative image registration technique with an application to stereo vision, in: Proceedings of the 7th International Joint Conference on Artificial Intelligence, Vancouver, Aug. 1981, pp. 674-679.
33. Open Source Computer Vision Library. [Online]. Available: .
34. P. Rosin, Thresholding for change detection, in: Proceedings of IEEE International Conference on Computer Vision, Bombay India, 1998, pp. 274-279.
35. Fan J., Yau D., Elmagarmid A., and Aref W. Automatic image segmentation by integrating color-edge extraction and seeded region growing. IEEE Trans. Image Process. 10 10 (2001) 1454-1466
36. A. Arsenio, J. Victor, Active monocular tracking with temporal integration of visual cues, in: 9th Portuguese Conference on Pattern Recognition, Coimbra, Portugal, Mar. 20-21, 1997.
37. M. Kohler, 3D Image Analysis and Synthesis. Springer Verlag, 1996, ch. Vision Based Remote Control in Intelligent Home Enviroments, pp. 147-154.
38. Schmid C., Mohrand R., and Bauckhage C. Evaluation of interest point detectors. Int. J. Comput. Vis. 37 2 (2000) 151-172
39. R. Collins, A. Lipton, T. Kanade, H. Fujiyoshi, D. Duggins, Y. Tsin, D. Tolliver, N. Enomoto, O. Hasegawa, A system for video surveillance and monitoring, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, Tech. Rep. CMU-RI-TR-00-12, May 2000.