Abstract
This paper proposed an adaptive tracking combined background weight with color-texture histogram on the basis of mean shift algorithm to achieve accurate tracking in complex scenes and similar background. Experimental results show that the proposed method is more efficient in dealing with complex background and occlusion than the traditional mean shift algorithm and corrected background-weighted mean shift algorithm with good computational efficiency.
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© 2016 Springer-Verlag Berlin Heidelberg
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Chen, L., Huang, Q., Pang, L., Su, F. (2016). A Robust Tracking Combined with Texture Feature and Background-Weighted Color Histogram. In: Liang, Q., Mu, J., Wang, W., Zhang, B. (eds) Proceedings of the 2015 International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 386. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49831-6_78
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DOI: https://doi.org/10.1007/978-3-662-49831-6_78
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Online ISBN: 978-3-662-49831-6
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