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II-LK-A Real-Time Implementation for sparse Optical Flow
Citation key 1240Senst2010
Author Tobias Senst and Volker Eiselein and Thomas Sikora
Title of Book International Conference on Image Analysis and Recognition (ICIAR)
Pages 240–249
Year 2010
DOI 10.1007/978-3-642-13772-3_25
Address Povoa de Varzim, Portugal
Month jun
Note ISBN: 978-3-642-13771-6
Editor A. Campilho and M. Kamel (Eds.)
Publisher Springer Verlag
Abstract In this paper we present an approach to speed up the computation of sparse optical flow fields by means of integral images and provide implementation details. Proposing a modification of the Lucas-Kanade energy Functional allows us to use integral images and thus to speed up the method notably while affecting only slightly the quality of the computed optical flow. The approach is combined with an efficient scanline algorithm to reduce the computation of integral images to those areas where there are features to be tracked. The proposed method can speed up current surveillance algorithms used for scene description and crowd analysis.
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