Xiao Zhansheng
Shanxi Engineering Vocational College, Taiyuan Shanxi, 030009, Shanxi, China
ABSTRACT
The moving object module matching method base on Kalman Filter (KF) algorithm which proposed to solve the problem of traditional moving object matching methods, that fault of huge searching range and weakness in real-time processing. Relative to traditional module matching method, the method mentioned here effectively improved the speed and the accuracy of object tracking. This method has tripled the object matching speed of traditional tracking method.
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How to cite this article
Xiao Zhansheng, 2013. Application of Moving Object Tracking Based on Kalman Filter Algorithm. Journal of Applied Sciences, 13: 4096-4098.
DOI: 10.3923/jas.2013.4096.4098
URL: https://scialert.net/abstract/?doi=jas.2013.4096.4098
DOI: 10.3923/jas.2013.4096.4098
URL: https://scialert.net/abstract/?doi=jas.2013.4096.4098
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