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Robust object tracking algorithm based on sparse eigenbasis
ISSN: 1751-9632, 1751-9640, 1751-9640Published: The Institution of Engineering and Technology 01.12.2014Published in IET computer vision (01.12.2014)“…To reduce the computation and to improve the performance of object detection and tracking algorithm with object appearance variation, a tracker based on sparse…”
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