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ICMCS
2006
IEEE

Integration of Background Modeling and Object Tracking

13 years 9 months ago
Integration of Background Modeling and Object Tracking
Background model and tracking became critical components for many vision-based applications. Typically, background modeling and object tracking are mutually independent in many approaches. In this paper, we adopt a probabilistic framework that uses particle filtering to integrate these two approaches, and the observation model is measured by Bhattacharyya distance. Experimental results and quantitative evaluations show that the proposed integration framework is effective for moving object detection.
Yu-Ting Chen, Chu-Song Chen, Yi-Ping Hung
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where ICMCS
Authors Yu-Ting Chen, Chu-Song Chen, Yi-Ping Hung
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