Global Motion Fourier Series Expansion for Video Indexing and Retrieval
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.
KeywordsVideo Sequence Motion Estimation Fourier Component Global Motion Fourier Series Expansion
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