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An Approach for Real Time Moving Object Extraction based on Edge Region Determination
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 66 - Number 9 |
| Year of Publication: 2013 |
| Authors: Sabrina Hoque Tuli |
10.5120/11110-4243
|
Sabrina Hoque Tuli . An Approach for Real Time Moving Object Extraction based on Edge Region Determination. International Journal of Computer Applications. 66, 9 ( March 2013), 6-10. DOI=10.5120/11110-4243
Abstract
In today's world ensuring security for important location is a burning issue. Surveillance system is playing an important role in the field of security. Moving object detection has been widely used in video surveillance system. This paper proposes a simple and efficient approach for real time moving object extraction in video sequences where moving object region is extracted from the moving edge map. In this proposed method edge maps are derived from two successive frame difference and background frame difference. Then moving edges are found by comparing these two edge maps and moving edge region is computed. Finally moving object region of current frame is extracted based on the determined edge region.
References
- Yuan Chen, Shengsheng Yu, Weiping Sun, Hongxing Li, Objects Detecting Based on Adaptive Background Models and Multiple Cues, ISECS International Colloquium on Computing, Communication, Control, and Management, 2008. Volume 1, Issue 3-4, Aug. 2008, Pages: 285 – 289.
- Yair Movshovitz and Shmuel Peleg, "Bacteria-filters: Persistent particle filters for background subtraction", In Proceedings IEEE International Conference on Image Processing, September, 2010.
- Jianguo Tao, Changhong Yu, Real- time detection and tracking of moving object, International Symposium on Intelligent Information Technology Application, 2008.
- Lian Xiaofeng, Zhang Tao, Liu Zaiwen, "A novel method on moving-objects detection based on background subtraction and three frames differencing", IEEE International Conference on Measuring Technology and Mechatronics Automation, 2010.
- Stauffer C, Grimson W. E. L, "Adaptive background mixture models for real-time tracking", IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1999.
- Guanglun Li Yanling Wang, Weiqun Shu, Real-time moving object detection for video monitoring systems, International Symposium on Intelligent Information Technology Application, 2008.
- Liu, P. R. ''Optical flow and active contour for moving object segmentation and detection in monocular robot'', IEEE International Conference on Robotics and Automation, 2006.
- A. Moro, K. Terabayashi, K. Umeda, "Detection of moving objects with removal of cast shadows and periodic changes using stereo vision", IEEE International Conference on Pattern Recognition, 2010.
- Changick Kim and Jenq-Neng Hwang , "Fast and automatic video object segementation and tracking for content-based applications", IEEE Transactions on Circuits and Systems for Video Technology, vol. 12, No. 2, February, 2002.
- M. Yokoyama and T. Poggio, "A contour-based moving object detection and tracking", 2nd Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, pp. 271-276, 2005.
- Mahbub Murshed, Adin Ramirez, Oksam Chae, "Statistical background modeling: an edge segment based moving object detection approach", In Proceedings IEEE Conference on Advanced Video and Signal Based Surveillance, 2010.
- M. A. A. Dewan, M. J. Hossain, and O. Chae, "Reference independent moving object detection: An edge segment based approach", International Conference on Knowledge-Based Intelligent Information and Engineering System, Part I, LNAI 4692, pp. 501-509, 2007.
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