Abstract
This paper introduces a tree-based algorithm for the motion tracking of dominant parts in a temporal image sequence. A tree allows us to express hierarchical relations of segments in an image. We first develop a fast tree matching algorithm which is suitable for matching of images. Second, employing the linear-scale-space analysis, we develop an algorithm to extract hierarchical relations of temporal images as a tree. Combining tree matching and tree extraction provides a method to extract moving dominant parts in a sequence of temporal images.
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Sakai, T., Imiya, A., Zen, H. (2005). Tree-Based Tracking of Temporal Image. In: Brun, L., Vento, M. (eds) Graph-Based Representations in Pattern Recognition. GbRPR 2005. Lecture Notes in Computer Science, vol 3434. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31988-7_31
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DOI: https://doi.org/10.1007/978-3-540-31988-7_31
Publisher Name: Springer, Berlin, Heidelberg
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