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Proceedings Paper

Combination approach of highly conflicting evidence based on weighted distance of evidence
Author(s): Zhicheng Liu; Jiazhou He; Hui Qiao
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Paper Abstract

In order to fuse highly conflicting evidence effectively, a novel combination method based on weighted distance of evidence is proposed by taking the ideas of Murphy’s averaging method and Deng’s weighted averaging method. Firstly, the essentiality of each element in the frame of discernment is given by Murphy’s idea. Secondly, the weighted averaging distance between any two bodies of evidence(BOEs) is calculated under the modified City Block distance norm, further the support degree of each evidence supported by other evidences can be obtained. Thirdly, the normalized total support degree of each evidence is considered as the weights of BOEs, and a new weighted averaging BOE will be gained. Finally, the information fusion process can be realized by using the Dempster’s rule of combination. Simulation results show that the proposed method can deal with the highly conflicting evidence with better performance of convergence, and it also can recognize the target more effectively and fleetly.

Paper Details

Date Published: 27 October 2013
PDF: 8 pages
Proc. SPIE 8919, MIPPR 2013: Pattern Recognition and Computer Vision, 89190P (27 October 2013); doi: 10.1117/12.2030418
Show Author Affiliations
Zhicheng Liu, Jiangsu Automation Research Institute (China)
Jiazhou He, Jiangsu Automation Research Institute (China)
Hui Qiao, Jiangsu Automation Research Institute (China)

Published in SPIE Proceedings Vol. 8919:
MIPPR 2013: Pattern Recognition and Computer Vision
Zhiguo Cao, Editor(s)

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