Introducing New Parameters to Compare the Accuracy and Reliability of Mean-shift Based Tracking Algorithms

نویسندگان

  • S. A. Mohammadi
  • M. R. Mahzoun
چکیده

Mean shift algorithms are among the most functional tracking methods which are accurate and have almost simple computation. Different versions of this algorithm are developed which are differ in template updating and their window sizes. To measure the reliability and accuracy of these methods one should normally rely on visual results or number of iteration. In this paper we introduce two new parameters which can be used to compare the algorithms especially when their results are close to each other.

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تاریخ انتشار 2011