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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Zhao, Q., & Tao, H. (2007). Motion observability analysis of the simplified color correlogram for visual tracking. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4843 LNCS, pp. 345–354). Springer Verlag. https://doi.org/10.1007/978-3-540-76386-4_32
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