Active Fusion Model with Robustness against Partial Occlusions


KIPS Transactions on Software and Data Engineering, Vol. 13, No. 1, pp. 35-46, Jan. 2006
10.3745/KIPSTB.2006.13.1.35, Full Text:

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 and 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.


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Cite this article
[IEEE Style]
J. J. Lee, G. S. Lee and G. Y. Kim, "Active Fusion Model with Robustness against Partial Occlusions," KIPS Journal B (2001 ~ 2012) , vol. 13, no. 1, pp. 35-46, 2006. DOI: 10.3745/KIPSTB.2006.13.1.35.

[ACM Style]
Joong Jae Lee, Geun Soo Lee, and Gye Young Kim. 2006. Active Fusion Model with Robustness against Partial Occlusions. KIPS Journal B (2001 ~ 2012) , 13, 1, (2006), 35-46. DOI: 10.3745/KIPSTB.2006.13.1.35.