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Proceedings Paper

Object tracking under occlusions by hierarchical part matching
Author(s): Lizuo Jin; Weiguo Sun; Sha He
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Paper Abstract

To tackle occlusions, a hierarchical part matching method based on a layered appearance model for object tracking is presented in this paper, which integrates global and partial region matching together to search the target object in a coarse to fine manner. In order to reduce the ambiguity of object localization, only the discriminative parts are selected for similarity computing with respect to their cornerness measure. The similarity between parts is computed in a layerwised manner, based on which the state of occlusions can be inferred correctly. When occluded partially, the object can be localized accurately, when occluded completely, the historical information of motion is applied to predict its position by a Kalman filter. The proposed tracking method is tested on practical video sequences, and the experimental results show it can consistently provides accurate positions of the object for stable tracking, even under severe occlusions.

Paper Details

Date Published: 8 December 2011
PDF: 7 pages
Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 800310 (8 December 2011); doi: 10.1117/12.902052
Show Author Affiliations
Lizuo Jin, Southeast Univ. (China)
Weiguo Sun, Southeast Univ. (China)
Sha He, Southeast Univ. (China)

Published in SPIE Proceedings Vol. 8003:
MIPPR 2011: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Nong Sang, Editor(s)

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