Abstract
This paper demonstrates a technique of analysing the following three problems: automatic extraction of moving objects, suppression of the remaining errors and solution of the correspondence problem for the video sequences motion analysis. Here we use a new paradigm for solving the correspondence problem and then determination of a motion trajectory based on a trisectional structure. I.e., firstly it distinguishes between real world objects, secondly extracts image features like Motion Blobs and colour-Patches and thirdly abstracts objects like Meta-Objects that shall denote real world objects. The efficiency of the suggested technique for determination of motion trajectory of moving objects will be demonstrated in this paper on the basis of analysis of strongly disturbed real image sequences.
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© 2003 Springer-Verlag Berlin Heidelberg
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Al-Hamadi, A., Niese, R., Michaelis, B. (2003). Another Paradigm for the Solution of the Correspondence Problem in Motion Analysis. In: Sanfeliu, A., Ruiz-Shulcloper, J. (eds) Progress in Pattern Recognition, Speech and Image Analysis. CIARP 2003. Lecture Notes in Computer Science, vol 2905. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24586-5_11
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DOI: https://doi.org/10.1007/978-3-540-24586-5_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20590-6
Online ISBN: 978-3-540-24586-5
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