Abstract
In this paper, color invariant co-occurrence features for moving vehicle tracking in a known environment is proposed. It extracts moving areas shaped on objects in Web video sequences captured by the Web camera and detects tracks of moving objects. Color invariant co-occurrence matrices are exploited to extract the plausible object blocks and the correspondences between adjacent video frames. The measures of class separability derived from the features of co-occurrence matrices are used to improve the performance of tracking. The experimental results are presented.
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© 2003 Springer-Verlag Berlin Heidelberg
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Chin, S., Choo, M. (2003). Moving Vehicle Tracking for the Web Camera. In: Lovelle, J.M.C., Rodríguez, B.M.G., Gayo, J.E.L., del Puerto Paule Ruiz, M., Aguilar, L.J. (eds) Web Engineering. ICWE 2003. Lecture Notes in Computer Science, vol 2722. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45068-8_49
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DOI: https://doi.org/10.1007/3-540-45068-8_49
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