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http://dx.doi.org/10.3745/KIPSTB.2006.13B.1.035

Active Fusion Model with Robustness against Partial Occlusions  

Lee Joong-Jae (숭실대학교 정보미디어기술연구소)
Lee Geun-Soo (한경대학교 컴퓨터공학과)
Kim Gye-Young (숭실대학교 컴퓨터학부)
Publication Information
The KIPS Transactions:PartB / v.13B, no.1, 2006 , pp. 35-46 More about this Journal
Abstract
The dynamic change of background and moving objects is an important factor which causes the problem of occlusion in tracking moving objects. The tracking accuracy is also remarkably decreased in the presence of occlusion. We therefore propose an active fusion model which is robust against partial occlusions that are occurred by background and other objects. The active fusion model is consisted of contour-based md region-based snake. The former is a conventional snake model using contour features of a moving object and the latter is a regional snake model which considers region features inside its boundary. First, this model classifies total occlusion into contour and region occlusion. And then it adjusts the confidence of each model based on calculating the location and amount of occlusion, so it can overcome the problem of occlusion. Experimental results show that the proposed method can successfully track a moving object but the previous methods fail to track it under partial occlusion.
Keywords
Active Fusion Model; Moving Object Tracking; Snake; Occlusion;
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