Statistical background modeling: An edge segment based moving object detection approach

Proceedings - IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2010

Volumn , Issue , 2010, Pages 300-306

  Murshed, Mahbub ^a   Ramirez, Adin ^a   Chae, Oksam ^a  

^a Kyung Hee University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

EDGE DETECTION; OBJECT RECOGNITION; PIXELS; SECURITY SYSTEMS;

BACKGROUND MOTION; DETECTION FRAMEWORK; DETECTION OF MOVING OBJECT; ILLUMINATION VARIATION; MOVING OBJECT DETECTION ALGORITHMS; MOVING-OBJECT DETECTION; NATURAL IMAGES; STATISTICAL BACKGROUND MODEL;

OBJECT DETECTION;

EID: 78449277216     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2010.18     Document Type: Conference Paper

References (17)

1. Y. Ahn, K. Ahn, and O. Chae. Detection of moving objects edges to implement home security system in a wireless environment. In ICCSA (1), pages 1044-1051, 2004.
2. G. Borgefors. Hierarchical chamfer matching: a parametric edge matching algorithm. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 10(6):849-865, Nov 1988.
3. J. Canny. A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell., 8(6):679-698, 1986.
4. D. J. Dailey, F.W. Cathey, and S. Pumrin. An algorithm to estimate mean traffic speed using uncalibrated cameras. IEEE Transactions on Intelligent Transportation Systems, 1(2):98-107, 2000.
5. M. A. A. Dewan, M. J. Hossain, and O. Chae. Background independent moving object segmentation for video surveillance. IEICE Transactions, 92-B(2):585-598, 2009.
6. D. Gutchess, M. Trajkovic, E. Cohen-Solal, D. Lyons, and A. K. Jain. A background model initialization algorithm for video surveillance. In in proc. IEEE ICCV 2001, Pt.1, pages 733-740, 2001.
7. B. K. P. Horn and B. G. Schunck. Determining optical flow. ARTIFICAL INTELLIGENCE, 17:185-203, 1981.
8. M. J. Hossain,M. A. A. Dewan, and O. Chae. Moving Object Detection for Real Time Video Surveillance: An Edge Based Approach. IEICE Trans Commun, E90-B(12):3654-3664, 2007.
9. W. Hu, T. Tan, L.Wang, and S.Maybank. A survey on visual surveillance of object motion and behaviors. IEEE Transactions on Systems, Man and Cybernetics, 34:334-352, 2004.
10. C. Kim and J.-N. Hwang. Fast and automatic video object segmentation and tracking for content-based applications. IEEE Trans. Circuits Syst. Video Techn., 12(2):122-129, 2002.
11. A. Lipton, H. Fujiyoshi, and R. Patil. Moving target classification and tracking from real-time video. pages 8 -14, oct 1998.
12. A. Makarov, J.-M. Vesin, and M. Kunt. Intrusion detection using extraction of moving edges. In Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision and Image Processing., Proceedings of the 12th IAPR International Conference on, volume 1, pages 804-807 vol.1, Oct 1994.
13. D. Meyer, J. Denzler, and H. Niemann. Model based extraction of articulated objects in image sequences for gait analysis. In in Proc. IEEE Int. Conf. Image Processing, pages 78-81, 1997.
14. R. J. Radke, S. Andra, O. Al-Kofahi, and B. Roysam. Image change detection algorithms: A systematic survey. IEEE Transactions on Image Processing, 14:294-307, 2005.
15. V. S. Sunderam, G. D. van Albada, P. M. A. Sloot, and J. Dongarra, editors. Computational Science - ICCS 2005, 5th International Conference, Atlanta, GA, USA, May 22-25, 2005, Proceedings, Part I, volume 3514 of Lecture Notes in Computer Science. Springer, 2005.
16. L. Vincent and P. Soille. Watersheds om digital spaces: An efficient algorithm based on immersion simulations. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 13(6):583-598, June 1991.
17. M. Yokoyama and T. Poggio. A contour-based moving object detection and tracking. In Visual Surveillance and Performance Evaluation of Tracking and Surveillance, 2005. 2nd Joint IEEE International Workshop on, pages 271-276, Oct. 2005.