Abstract
Under complex environment, it is difficult to track target successfully by single feature. To solve this problem, the paper propose a novel object tracking approach which fuses color and SURF(Speeded Up Robust Features) in the frame of particle filter. SURF remain invariant for illumination, scale and affine. Add color to make up for the shortcoming(SURF is based on image gray scale information.). It not only maintains the characteristics of SURF, but also makes use of the image color information. The experimental results prove that the proposed method is real-time and robust in different scenes.
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Niu, M., Mao, X., Liang, J., Niu, B. (2013). Object Tracking Based on Extended SURF and Particle Filter. In: Huang, DS., Jo, KH., Zhou, YQ., Han, K. (eds) Intelligent Computing Theories and Technology. ICIC 2013. Lecture Notes in Computer Science(), vol 7996. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39482-9_75
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DOI: https://doi.org/10.1007/978-3-642-39482-9_75
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39481-2
Online ISBN: 978-3-642-39482-9
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