An Improved Stereo Matching Algorithm for Vehicle Speed Measurement System Based on Spatial and Temporal Image Fusion |
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| Authors: | Lei Yang Qingyuan Li Xiaowei Song Wenjing Cai Chunping Hou Zixiang Xiong |
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| Institution: | 1.School of Electronic and Information, Zhongyuan University of Technology, Zhengzhou 450007, China; (Q.L.); (W.C.);2.Dongjing Avenue Campus, Kaifeng University, Kaifeng 475004, China;3.School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China;4.Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA; |
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| Abstract: | This paper proposes an improved stereo matching algorithm for vehicle speed measurement system based on spatial and temporal image fusion (STIF). Firstly, the matching point pairs in the license plate area with obviously abnormal distance to the camera are roughly removed according to the characteristic of license plate specification. Secondly, more mismatching point pairs are finely removed according to local neighborhood consistency constraint (LNCC). Thirdly, the optimum speed measurement point pairs are selected for successive stereo frame pairs by STIF of binocular stereo video, so that the 3D points corresponding to the matching point pairs for speed measurement in the successive stereo frame pairs are in the same position on the real vehicle, which can significantly improve the vehicle speed measurement accuracy. LNCC and STIF can be used not only for license plate, but also for vehicle logo, light, mirror etc. Experimental results demonstrate that the vehicle speed measurement system with the proposed LNCC+STIF stereo matching algorithm can significantly outperform the state-of-the-art system in accuracy. |
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| Keywords: | image fusion stereo matching LNCC STIF vehicle speed measurement |
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