CFP last date
20 January 2025
Reseach Article

A Highly Adaptive Method for Moving Target Detection in Dynamic Background with a Simplified Manner

by Yogendra Kumar Jain, Sanket Gupta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 102 - Number 10
Year of Publication: 2014
Authors: Yogendra Kumar Jain, Sanket Gupta
10.5120/17851-8804

Yogendra Kumar Jain, Sanket Gupta . A Highly Adaptive Method for Moving Target Detection in Dynamic Background with a Simplified Manner. International Journal of Computer Applications. 102, 10 ( September 2014), 20-26. DOI=10.5120/17851-8804

@article{ 10.5120/17851-8804,
author = { Yogendra Kumar Jain, Sanket Gupta },
title = { A Highly Adaptive Method for Moving Target Detection in Dynamic Background with a Simplified Manner },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 102 },
number = { 10 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 20-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume102/number10/17851-8804/ },
doi = { 10.5120/17851-8804 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:32:45.483735+05:30
%A Yogendra Kumar Jain
%A Sanket Gupta
%T A Highly Adaptive Method for Moving Target Detection in Dynamic Background with a Simplified Manner
%J International Journal of Computer Applications
%@ 0975-8887
%V 102
%N 10
%P 20-26
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Target detection is an approach to extract object from image, however it is difficult task when object is moving. Moving target detection is a key area in image processing such as traffic control system, activity monitoring security system, CCTV footage etc. For detecting a moving object in dynamic background, a background subtraction based method has already been suggested. These methods does not give better results when object is moving very fast, object is very tiny and presence of lighting effect. To overcome these problems, we propose a new method for Moving Target Detection in Dynamic Background. It achieves dynamic scene using certain probability of time and subsequent frame difference method and addresses the difficult scenario, where object is moving very fast and background changes frequently. In order to increase the accuracy of a proposed method, rate of change in background is calculated in fixed time of interval which will maintain dynamic behavior of object as well as background. The experimental results show that the proposed method can detect moving object more efficiently and completely in both cases online as well as offline video

References
  1. Yangquan Yu, Chunguang Zhou, Lan Huang, Zhezhou Yu, "A Moving Target Detection Algorithm Based on the Dynamic Background", Proceedings of the International Conference on Computational Intelligence and Software Engineering, pp. 1-5, Dec. 2009.
  2. Feng Wang, Shuguang Dai, "Adaptive Background Update Based on Mixture Models of Gaussian", International Conference on Information and Automation, pp. 336-339, June 2009.
  3. H. Zhang, Hanmei Zhang," A Moving Target Detection Algorithm in Dynamic Scenes", ICCSE, Colombo,SriLanka , pp . 995-998, April2013.
  4. Tan Jiyuan, Wu Chengdong, Zhou Yun, Hou Jun, Wang Qiaoqiao, "Research of Abnormal Target Detection Algorithm in intelligent Surveillance System", Proceedings of the 2009 International Conference on Advanced Computer Control, IEEE Computer Society, pp. 433-437, Jan. 2009.
  5. Fa-quan Zhang , Yong Zhang , Li-ping Lu , Li-ying Jiang , Guang-zhao Cui, "Speedy Detection Algorithm of Underwater Moving Targets Based on Image Sequence", International Conference on Computer Engineering and Technology, pp. 230–233, Jan. 2009.
  6. Kaew TraKul Pong, P. Bowden , "An improved adaptive background mixture model for real-time tracking with shadow detection", Proceedings of 2nd European Workshop on Advanced Surveillance System, pp. 149-158, 2011
  7. Stauffer C. , Grimson, W. , "Adaptive background mixture models for real-time tracking", Proceedings of the IEEE International Conf. on Computer Vision and Pattern Recognition, Vol. 2, pp. 246-252, 1999.
  8. M. C. Tsai, K. Y. Chen, M. Y. Cheng, K. C. Lin, "Implementation of areal-time moving object tracking system using visual servoing", Cambridge University Press , Vol. 21 Issue 6, December 2003.
  9. Lee, D. , "Effective Gaussian mixture learning for video background subtraction", IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 27, pp. 827-832, 2005.
  10. Wang Ying-li, Dai Jing-min, "Moving Targets Detection and Tracking Based on Nonlinear Adaptive Filtering," 2007 International Conference on Computational Intelligence and Security Workshops (CISW2007), pp. 691-694, December 2007.
  11. Yang Shu-Ying, Zhang Cheng , Zhang We-Yu , He Pi-Lian, "Unknown Moving Target Detecting and Tracking Based on Computer Vision", Fourth International Conference on Image and Graphics (ICIG 2007), pp. 490-495, August 2007.
  12. Mayur D. Jain, S. Nalin Pradeep, "A video surveillance system under varying environmental conditions", Proceedings of the 24th international conference on Signal processing, pattern recognition, and applications, IASTED, ACTA Press, pp. 390-394, February 2006.
  13. M. A. Zerafat Pisheh, A. Sheikhi, "Detection and Compensation of Image Sequence Jitter Due to an Unstable CCD Camera for Video Tracking of a Moving Target", 2nd International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT'04), pp. 258-261, September 2004.
  14. Kaew TraKul Pong, P. Bowden, "An improved adaptive background mixture model for real-time tracking with shadow detection", Proceedings of Second European Workshop on Advanced Surveillance System, pp. 149-158, 2011.
  15. D. Jia, X. Chen,"An improved moving target detection method and the analysis as influence factor", ICSI,part II, LNCS 7332, pp. 323-333, 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Background subtraction Frame difference Moving target detection Dynamic background.