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Optical Engineering

Semantic shape similarity-based contour tracking evaluation
Author(s): Xiaoqin Zhang; Wenhan Luo; Wei Li; Weiming Hu; Li Zhao
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Paper Abstract

One major problem of contour-based tracking is how to evaluate the accuracy of tracking results due to nonrigid and deformative properties of contours. We propose a shape context-based evaluation measure that considers the semantic shape similarity between the tracked contour and ground-truth contour. In addition, a pyramid match kernel is introduced for shape histogram matching, which can effectively deal with the contours with different scales. Experimental results demonstrate, compared to two start-of-art evaluation measures, our measure effectively captures the local shape information and thus is more consistent with human vision.

Paper Details

Date Published: 1 October 2011
PDF: 8 pages
Opt. Eng. 50(10) 107003 doi: 10.1117/1.3633334
Published in: Optical Engineering Volume 50, Issue 10
Show Author Affiliations
Xiaoqin Zhang, Wenzhou Univ. (China)
Wenhan Luo, Institute of Automation (China)
Wei Li, Institute of Automation (China)
Weiming Hu, Institute of Automation (China)
Li Zhao, Wenzhou Univ. (China)

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