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Learning Patch-Based Dynamic Graph for Visual Tracking

Published in Proceedings of the AAAI Conference on Artificial Intelligence • Feb 12, 2017
NobleIDNI1P57W29R85S54
Authors:
Chenglong Li
,
Liang Lin
,
Wangmeng Zuo

Abstract

Existing visual tracking methods usually localize the object with a bounding box, in which the foreground object trackers/detectors are often disturbed by the introduced background information. To handle this problem, we aim to learn a more robust object representation for visual tracking. In partic...

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