Online Object Tracking: A Benchmark

@article{Wu2013OnlineOT,
  title={Online Object Tracking: A Benchmark},
  author={Yi Wu and Jongwoo Lim and Ming-Hsuan Yang},
  journal={2013 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2013},
  pages={2411-2418}
}
Object tracking is one of the most important components in numerous applications of computer vision. While much progress has been made in recent years with efforts on sharing code and datasets, it is of great importance to develop a library and benchmark to gauge the state of the art. After briefly reviewing recent advances of online object tracking, we carry out large scale experiments with various evaluation criteria to understand how these algorithms perform. The test image sequences are… CONTINUE READING
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