Abstract
In this paper, the problem of missing vehicles halfway in previous approach of vehicle tracking based on motion vector is studied, and a vehicle tracking algorithm based on pixel level motion vector is proposed. In the proposed algorithm, blocks of vehicles are shifted by pixel level motion vector which is acquired directly by block matching method, and overlapping between blocks contained in a single vehicle is allowed. By the experiments, the proposed algorithm was proved to be very successful. It can track vehicles farther than block level motion vector based approach.
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© 2012 Springer-Verlag Berlin Heidelberg
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Xiong, Y., Lu, X., Zhu, Z., Zeng, W. (2012). Vehicle Tracking in Video Based on Pixel Level Motion Vector. In: Wang, F.L., Lei, J., Lau, R.W.H., Zhang, J. (eds) Multimedia and Signal Processing. CMSP 2012. Communications in Computer and Information Science, vol 346. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35286-7_26
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DOI: https://doi.org/10.1007/978-3-642-35286-7_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35285-0
Online ISBN: 978-3-642-35286-7
eBook Packages: Computer ScienceComputer Science (R0)