説明
A new feature selection method for reliable tracking is presented. In this paper, it is assumed that features are tracked by template matching where small regions around the features are defined as templates. The proposed method selects features based on the upper bound of the average template matching error. This selection criterion is directly related to the reliability of tracking and hence, the performance is better than that of other feature detectors. Experimental results are presented to confirm the efficiency of the proposed method.
収録刊行物
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- 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.
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2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings. I-796, 2003-11-21
IEEE Comput. Soc
