Abstract
This paper studies the dynamic human object tracking problem. Under the condition of both of the camera and the object being tracked simultaneously move, when the movement of the object is too fast and the speeds of the two do not match, the tracking of the moving object will have lag issues. This paper presents an improved particle-tracking method. The method, during the tracking process, can reduce the number of particles online according to the actual tracking situation, thereby reducing computation time, so that the computing speed can be adjusted in real time according to the velocity of the being-tracked object to form the best match of the speeds. Experimental results show that the improved algorithm well solves the lag problems of the moving object being tracked and the tracking performance is significantly improved.
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© 2011 Springer-Verlag Berlin Heidelberg
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He, Y., Wu, Q., Feng, S., Zhou, R., Xing, Y., Wang, F. (2011). Research on Dynamic Human Object Tracking Algorithm. In: Huang, DS., Gan, Y., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing. ICIC 2011. Lecture Notes in Computer Science, vol 6838. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24728-6_27
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DOI: https://doi.org/10.1007/978-3-642-24728-6_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24727-9
Online ISBN: 978-3-642-24728-6
eBook Packages: Computer ScienceComputer Science (R0)