Fuzzy measures for vehicle detection

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 24 Aug 2005Publisher:IEEEJournal:10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), volume 3, pages 848-851

Authors: Zhi-Qiang Liu; Xiaobo Li 0001; Ka-Ming Leung;

doi: 10.1109/fuzz.2001.1009088

Fuzzy measures for vehicle detection

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Abstract

This paper presents a vehicle detection algorithm. We compute fuzzy integrals based on the evidence gathered. We have carried out extensive experiments. For all vehicles in the images, including the ones partially occluded and cut off at the image boundary, we are able to achieve a detection rate of 80% comparing with only 13% in our previous systems. For the vehicles that are almost completely visible, the detection rate was 90%.

Related Organizations

City University of Hong Kong
China (People's Republic of)
University of Melbourne
Australia
University of Alberta
Canada

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