INTERNATIONAL JOURNA L OF ENGINEERING SCI ENCES & RESEARCH TECHNOLOGY A Survey on Modern Era's Online Object Tracking Algorithms
Khemraj Deshmukh, Vishal Moyal · 2013
Object tracking finds many practical applications r anging from robotics, surveillance, augmented reali ty to computer interaction, the state -of-the- art is still far from achieving results comparable to human performance. The goal of this article is t o review the state-of-the- art tracking methods. Object tracking remains a challenging problem due to appearance change caused by pose, illumination, occlusion, and motion, amon g others. An effective appearance model is of prime importance for the success o f a tracking algorithm that has been attracting much attention in recent years. In this survey, we empirically demonstrate the performance of the algorithm against various common failure modes in t he generic object tracking problem.