A selective review on target tracking algorithms

Abstract

Growing research in computer vision obliges reliable and efficient target tracking methods. This letter proposes a review on target estimation and tracking algorithms grouped into two namely deterministic and nondeterministic based algorithms. Various issues affecting success and/or failure of such algorithms are discussed as well as presenting current references (fifty five in total) on the topic. In conclusion, no single algorithm can be ideal for all tracking problems. It is hoped that with only two groups of tracking and estimation algorithms, this work will guide tracking system designers on choosing a suitable algorithms for use.