title: Target contour recovering for tracking people in complex environments.
abstract: Recovering people contours from partial occlusion is a challenging problem in a visual tracking system. Partial occlusions would bring about unreasonable contour changes of the target object. In this paper, a novel method is presented to detect partial occlusion on people contours and recover occluded portions. Unlike other occlusion detection methods, the proposed method is only based on contours, which makes itself more flexible to be extended for further applications. Experiments with synthetic images demonstrate the accuracy of the method for detecting partial occlusions, and experiments on real-world video sequence are also carried out to prove that the method is also good enough to be used to recover target contours.
authors: Group TAMS, Department of Informatics, University of Hamburg, 22527 Hamburg, Germany.
authors: Jianhua
authors: J
authors: Zhang
authors: Sheng
authors: S
authors: Liu
authors: Y F
authors: YF
authors: Li
authors: Jianwei
authors: J
authors: Zhang
mesh_terms: D000465:Algorithms; D005556:Form Perception; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*