English

Object Tracking in Videos: Approaches and Issues

Computer Vision and Pattern Recognition 2013-04-19 v1

Abstract

Mobile object tracking has an important role in the computer vision applications. In this paper, we use a tracked target-based taxonomy to present the object tracking algorithms. The tracked targets are divided into three categories: points of interest, appearance and silhouette of mobile objects. Advantages and limitations of the tracking approaches are also analyzed to find the future directions in the object tracking domain.

Keywords

Cite

@article{arxiv.1304.5212,
  title  = {Object Tracking in Videos: Approaches and Issues},
  author = {Duc Phu Chau and François Bremond and Monique Thonnat},
  journal= {arXiv preprint arXiv:1304.5212},
  year   = {2013}
}
R2 v1 2026-06-22T00:02:32.611Z