作者: Hanxuan Yang , Ling Shao , Feng Zheng , Liang Wang , Zhan Song
DOI: 10.1016/J.NEUCOM.2011.07.024
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摘要: The goal of this paper is to review the state-of-the-art progress on visual tracking methods, classify them into different categories, as well as identify future trends. Visual tracking is a fundamental task in many computer vision applications and has been well studied in the last decades. Although numerous approaches have been proposed, robust visual tracking remains a huge challenge. Difficulties in visual tracking can arise due to abrupt object motion, appearance pattern change, non-rigid object structures, occlusion and camera …