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Proceedings of the 2nd International Symposium on Information Processing (ISIP 2009)

Huangshan, China, August 21-23, 2009

Editors: Fei Yu, Jian Shu, and Guangxue Yue

AP Catalog Number: AP-PROC-CS-09CN002

ISBN: 978-952-5726-02-2 (Print), 978-952-5726-03-9 (CD-ROM)

Page(s): 29-32

Moving Vehicle Tracking Based on Double Difference and CAMShift

Jie Xia, Jian Wu, Haitao Zhai, and Zhiming Cui

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CAMShift is a semi-automatic tracking algorithm, which needs tracking target to be calibrated manually, and can only track one single target at a time. Aiming at these problems, this paper proposes a vehicle tracking approach based on double difference method and CAMShift algorithm. This approach can automatically calibrate moving vehicles in traffic video and achieve multi-target tracking by using a multi-tracker of CAMShift algorithm. The experimental results show that the algorithm in this paper can solve automatic multi-target tracking problem in traffic video very good along with good stability.

Index Terms

double difference, CAMShift, multi-target, automatic tracking

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