Target Tracking by Fuzzy Algorithm Based on Adaptive Filtering with Current Statistical Model

Xi Peng Yin; You Li; Lin Lin Xia; Wei Cheng

doi:10.4028/www.scientific.net/AMR.1079-1080.622

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1079-1080Target Tracking by Fuzzy Algorithm Based on...

Target Tracking by Fuzzy Algorithm Based on Adaptive Filtering with Current Statistical Model

Abstract:

A Fuzzy algorithm based onthe current statistical model adaptive filtering is brought. This algorithm avoidsthe need to set acceleration limit in advance in the original method（CSAF）, and the accelerationestimation value is determined by the weights of the acceleration in thetriangular membership function. This new algorithmimproves the performance of target tracking with the cost of a little calculation time, but the cost of calculation timeis so slightly that we can ignorethe effect of the real-time.

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Periodical:

Advanced Materials Research (Volumes 1079-1080)

Pages:

622-625

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1079-1080.622

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Online since:

December 2014

Authors:

Xi Peng Yin, You Li, Lin Lin Xia, Wei Cheng

Keywords:

Currentstatistical Model Adaptive Filtering（CSAF）, Target Tracking, Triangular Membership Function

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