Moving Vehicle Tracking Based on Kalman Filter

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Abstract:

The technology of vehicle tracking is a very critical and fundamental part in the Intelligent Transportation Systems (ITS). After the principle of Kalman filter was introduced, a method of vehicle tracking based on basic Kalman filter is proposed and the tracking error analysis is carried out in this paper. The experiment results show that the vehicle tracking method is robust, accurate, easily achieved and has good practical application merit.

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3950-3953

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July 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Lonnie C. Ludeman. Tianshuang Qiu, Ting Li, Yingwei Bi, etal. Random process--Filter, Estimate and Detection [M]. Beijing: Electronic Industry Press, (2005).

Google Scholar

[2] Shujie Zhao, Jianxun Zhao. Signal Detection and Estimation Theory. Beijing: Tsinghua University Press [M], (2005).

Google Scholar

[3] Janyun Xu. Study of Moting Object Detection and Tracking in Image Sequence [J]. Nanjing: Nanjing University of Science and Technology, (2008).

Google Scholar