Understanding and Diagnosing Visual Tracking Systems

@article{Wang2015UnderstandingAD,
  title={Understanding and Diagnosing Visual Tracking Systems},
  author={Naiyan Wang and Jianping Shi and Dit-Yan Yeung and Jiaya Jia},
  journal={2015 IEEE International Conference on Computer Vision (ICCV)},
  year={2015},
  pages={3101-3109}
}
Several benchmark datasets for visual tracking research have been created in recent years. Despite their usefulness, whether they are sufficient for understanding and diagnosing the strengths and weaknesses of different trackers remains questionable. To address this issue, we propose a framework by breaking a tracker down into five constituent parts, namely… CONTINUE READING

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