Intrackability: Characterizing Video Statistics and Pursuing Video Representations

  title={Intrackability: Characterizing Video Statistics and Pursuing Video Representations},
  author={Haifeng Gong and Song-Chun Zhu},
  journal={International Journal of Computer Vision},
Videos of natural environments contain a wide variety of motion patterns of varying complexities which are represented by many different models in the vision literature. In many situations, a tracking algorithm is formulated as maximizing a posterior probability. In this paper, we propose to measure the video complexity by the entropy of the posterior probability, called the intrackability, to characterize the video statistics and pursue optimal video representations. Based on the definition of… CONTINUE READING


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