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Robust and efficient fragments-based tracking using mean shift
- Source :
-
AEU: International Journal of Electronics & Communications . Jul2010, Vol. 64 Issue 7, p614-623. 10p. - Publication Year :
- 2010
-
Abstract
- Abstract: Representing a target with multiple image fragments has been used for tracking in a video sequence and proved to be able to preserve the spatial information. However, this kind of target description poses additional challenges in terms of efficiency of a video target tracking. In this paper, we present a novel algorithm that addresses this issue. We propose a fusion scheme to fuse multiple spatially distributed fragments effectively. Under the fusion scheme, we derive a mean shift type algorithm which allows efficient target tracking with very low computational overhead. In order to properly fragment the human target, we propose a GrabCut-based method to divide the target into multiple distinctive fragments. The proposed algorithm is evaluated on extensive challenging sequences. The experimental results demonstrate that it is effective and efficient. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 14348411
- Volume :
- 64
- Issue :
- 7
- Database :
- Academic Search Index
- Journal :
- AEU: International Journal of Electronics & Communications
- Publication Type :
- Academic Journal
- Accession number :
- 50708214
- Full Text :
- https://doi.org/10.1016/j.aeue.2009.04.004