Title :
Feature selection for reliable tracking using template matching
Author :
Kaneko, Toshimitsu ; Hori, Osamu
Author_Institution :
Corporate R&D Center, Toshiba Corp., Kawasaki, Japan
Abstract :
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.
Keywords :
computer vision; edge detection; feature extraction; image matching; image sequences; object detection; target tracking; average template matching error; computer vision; feature detection; feature region; feature selection; reliable tracking; selection criterion; Application software; Autocorrelation; Computer errors; Computer vision; Detectors; Humans; Image sequences; Laboratories; Research and development; Upper bound;
Conference_Titel :
Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on
Print_ISBN :
0-7695-1900-8
DOI :
10.1109/CVPR.2003.1211434
