Abstract
Shadow removal is one of the most important parts of moving object recognition in the field of intelligent video surveillance since the shadow definitely affects the recognition performance. This is caused from that shadows share the same movement patterns and similar magnitude of intensity to those of the foreground objects. Therefore, in this paper, to effectively remove moving shadows from video, a new approach based on chromaticity and a well-known universal background subtraction named as Vibe was proposed. Experimental results prove that moving shadows can be removed effectively by the proposed approach than the other ones.
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© 2014 Springer International Publishing Switzerland
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Zhao, H., Kang, M.W., Kim, K.Y., Kim, YS. (2014). Elimination of Moving Shadow Based on Vibe and Chromaticity from Surveillance Videos. In: Ślȩzak, D., Schaefer, G., Vuong, S.T., Kim, YS. (eds) Active Media Technology. AMT 2014. Lecture Notes in Computer Science, vol 8610. Springer, Cham. https://doi.org/10.1007/978-3-319-09912-5_46
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DOI: https://doi.org/10.1007/978-3-319-09912-5_46
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09911-8
Online ISBN: 978-3-319-09912-5
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