A Brief Review on Visual Tracking Methods
Long-term robust visual tracking is still a challenge,primarily due to the appearance changes of the scene and target.In this paper,we briefly review the recent progress in image representation,appearance model and motion model for building a general tracking system.The models reviewed here are basic enough to be applicable for tracking either single target or multiple targets.Special attention has been paid to the on-line adaptation of appearance model,a hot topic in the recent.Its key techniques have been discussed,such as classifier issue,on-line manner,sample selection and drifting problem.We notice that the recent state-of-the-art performances are generally given by a class of on-line boosting methods or tracking-by-detection methods (e.g.OnlineBoost,SemiBoost,MIL-Track,TLD,etc.).Therefore,we validate them together with typical traditional methods (e.g.template matching,Mean Shift,optical flow,particle filter,FragTrack) on a challenging sequence for single person tracking.Qualitative comparison results are presented.
tracking appearance adaptation motion
Xiang Xiang
Key Lab of Intelligent Information Processing of CAS Institute of Computing Technology,Chinese Academy of Sciences (CAS),Beijing,China
国际会议
北京
英文
41-44
2011-12-01（万方平台首次上网日期，不代表论文的发表时间）