基于稀疏表达的视频目标跟踪算法研究

Research about Video Object Tracking Based on Sparse Representation

论文主要描述了视频目标跟踪的常用特征及适用场景,概括了稀疏表达方法结合视频目标跟踪的基本框架和原理,结合目标跟踪的分类,梳理了将稀疏表达引入到视频目标跟踪领域以来一些里程碑式的方法,给出了常用的评价方法,并提出未来在该领域可能的研究趋势。

This paper mainly introduces representative features and applicable scene in the video object tracking, and outlines the basic framework and principles of object trackingcombining sparse representation approach. According to the classification of object tracking, the paper reviews the milestone methods since the sparse presentation has been applied in the object tracking. The Paper finallytalks about the typical evaluation method and give the research trend in this field in the future.