Abstract
This paper describes a new framework for global motion fea- ture extraction and presents a video indexing and retrieval application. Optical ow between two frames is expanded, directly from the image derivatives, in a Fourier series. This technique provides a good global motion representation over a few Fourier components. These Fourier components are relevant to discriminate complex motions, such as human activities. Results of indexing and retrieval on a database of human activities sequences are presented.
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Bruno, E., Pellerin, D. (2000). Global Motion Fourier Series Expansion for Video Indexing and Retrieval. In: Laurini, R. (eds) Advances in Visual Information Systems. VISUAL 2000. Lecture Notes in Computer Science, vol 1929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40053-2_29
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DOI: https://doi.org/10.1007/3-540-40053-2_29
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