A Survey on Modern Era’s Online Object Tracking Algorithms
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 2, Issue 3
Abstract
Object tracking finds many practical applications ranging from robotics, surveillance, augmented reality to computer interaction, the state-of-the- art is still far from achieving results comparable to human performance. The goal of this article is to 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, among others. An effective appearance model is of prime importance for the success of 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 the generic object tracking problem.
Authors and Affiliations
Khemraj Deshmukh
Keywords
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