Abstract
The traditional Mean-Shift algorithm uses a single histogram to tracking moving objects. Because the traditional Mean-Shift lacks spatial distribution information, so it is difficult to track non-rigid object especially. With a focus on this problem, an improved Mean-Shift algorithm based on the shape feature and color of the target is presented. The results show that the algorithm can track the non-rigid target in real time, and it has a preferable adaptability and robustness to the irregular motion and deformation of the target.
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© 2016 Springer Science+Business Media Singapore
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Guo, S., Shi, X., Wang, Y., Zhou, X. (2016). Non-rigid Object Tracking Using Modified Mean-Shift Method. In: Kim, K., Joukov, N. (eds) Information Science and Applications (ICISA) 2016. Lecture Notes in Electrical Engineering, vol 376. Springer, Singapore. https://doi.org/10.1007/978-981-10-0557-2_45
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DOI: https://doi.org/10.1007/978-981-10-0557-2_45
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Publisher Name: Springer, Singapore
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Online ISBN: 978-981-10-0557-2
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