Motion observability analysis of the simplified color correlogram for visual tracking

  • Authors:
  • Qi Zhao;Hai Tao

  • Affiliations:
  • Department of Computer Engineering, University of California at Santa Cruz, Santa Cruz, CA;Department of Computer Engineering, University of California at Santa Cruz, Santa Cruz, CA

  • Venue:
  • ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
  • Year:
  • 2007

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Abstract

Compared with the color histogram, where the position information of each pixel is ignored, a simplified color correlogram (SCC) representation encodes the spatial information explicitly and enables an estimation algorithm to recover the object orientation. This paper analyzes the capability of the SCC (in a kernel based framework) in detecting and estimating object motion and presents a principled way to obtain motion observable SCCs as object representations to achieve more reliable tracking. Extensive experimental results demonstrate the reliability of the tracking procedure using the proposed algorithm.