1 October 2011 Semantic shape similarity-based contour tracking evaluation
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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.
© (2011) Society of Photo-Optical Instrumentation Engineers (SPIE)
Xiaoqin Zhang, Wenhan Luo, Wei Li, Weiming Hu, Li Zhao, "Semantic shape similarity-based contour tracking evaluation," Optical Engineering 50(10), 107003 (1 October 2011). https://doi.org/10.1117/1.3633334 . Submission:

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