An approach for moving object recognition based on BPR and CI

Li Wang, Lida Xu (), Renjing Liu and Hai Hong Wang
Additional contact information
Li Wang: Beihang University
Lida Xu: Beijing Jiaotong University
Renjing Liu: Xian Jiaotong University
Hai Hong Wang: Qingdao University of Science and Technology

Information Systems Frontiers, 2010, vol. 12, issue 2, No 3, 148 pages

Abstract: Abstract A recognition and classification method of multiple moving objects in traffic based on the combination of the Biomimetic Pattern Recognition (BPR) and Choquet Integral (CI) is proposed. The recognition process consists of three stages. At the first stage, vehicles and pedestrians are detected in video images and the area, the shape and the velocity features are obtained by classical methods. At the second stage, BPR is used to classify the Zernike moments extracted at the first stage. At the last stage, CI is then adopted for multi-features fusion based on the output of BPR, and the area and the velocity features obtained at the first stage to improve the recognition accuracy. Experiment results show that this approach is efficient.

Keywords: Computer vision; Object recognition; Information systems; Enterprise information systems; Transportation (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10796-008-9130-3

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