A Novel Approach to Video Detection for Background Updating and Target Tracking

Hui Zhong Zhuang; Han Li

doi:10.4028/www.scientific.net/AMR.179-180.1282

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 179-180A Novel Approach to Video Detection for Background...

A Novel Approach to Video Detection for Background Updating and Target Tracking

Abstract:

A novel approach to video detection, synchronous detection lines method, is firstly proposed in this paper. It is actually a way to divide the pixel sets of the video images. Then, an algorithm of three-layer probability model based on synchronous detection lines is presented to solve the problems of background updating and target tracking. The results of a practical system show that this approach has better effect to solve the problems of background updating and target tracking.

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Periodical:

Advanced Materials Research (Volumes 179-180)

Pages:

1282-1287

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.179-180.1282

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Online since:

January 2011

Authors:

Hui Zhong Zhuang, Han Li

Keywords:

Background Updating, Detection Region, Synchronous Detection Line, Target Tracking

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References

[1] Gutchess D., Trajkovic M., Cohen-Solal E., Lyones D., Jain A. K., A Background Model Initialization Algorithm for Video Surveillance, Computer Vision, Proceedings. Eighth IEEE International Conference on, Vancouver, Canada 2001: 733-740 Vol. 1.

DOI: 10.1109/iccv.2001.937598

Google Scholar

[2] Kentaro Toyama, John Krumm, Barry Brumitt, Brian Meyers, Wallflower: Principles and Practice of Background Maintenance, Computer Vision, The Proceedings of the Seventh IEEE International Conference on, Greece, 1999, pp.255-261.

DOI: 10.1109/iccv.1999.791228

Google Scholar

[3] Pless R., Larson J., Siebers S., Westover B., Evaluation of Local Models of Dynamic Backgrounds, Computer Vision and Pattern Recognition, Proceedings of 2003 IEEE Computer Society Conference on, Wisconsin, 2003, 73-78 Vol. 2.

DOI: 10.1109/cvpr.2003.1211454

Google Scholar

[4] Friedman N., Russell S., Image segmentation in video sequences: A probabilistic approach, Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997: 1-13.

Google Scholar

[5] Stauffer, C., Grimson, W.E.L., Adaptive background mixture models for real-time tracking, Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, Colorado USA, 1999: 246-252 Vol. 2.

DOI: 10.1109/cvpr.1999.784637

Google Scholar