期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：9
页码：113-122
出版社：SERSC
摘要：Compressive tracking is considerably popular in the visual tracking community in recent years. The very strong theoretic support from compressive sensing motivates many researchers to follow and there are a wide range of compressive trackers with attractive performances. The goal of this paper is to overview some of the most recent state-of-the-art compressive trackers in the literature. First, a variety of compressive trackers are thoroughly introduced and summarized. Second, extensive analyses from different perspectives, including random measurement matrix, compressive features, feature selection strategy and so forth, aim to provide readers a good understanding of the strengths and weaknesses of different trackers. Finally, several possible future trends for compressive trackers are outlined to hopefully bring some insights to interesting researchers
