Computer Science ›› 2013, Vol. 40 ›› Issue (Z11): 329-332.

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HOG-Feature and SVM Based Method for Forward Vehicle Recognition

LI Xing,GUO Xiao-song and GUO Jun-bin   

  • Online:2018-11-16 Published:2018-11-16

Abstract: A HOG-feature and SVM based method was proposed for real-time forward vehicle recognition in automotive safety driver assistant systems.The shadow underneath vehicle was segmented accurately by using histogram analysis method and the initial candidates were generated by combining horizontal and vertical edge feature of shadow.These initial candidates were further verified by using a vehicle classifier based on the histogram of gradient and support vector machine.The experimental results show that the proposed method could adapt to different light conditions robustly.Specially,the proposed method has a recognition rate of 96.52percent and a false rate of 3.59percent in normal light condition.

Key words: Histogram of gradient,Support vector machine,Vehicle classifier,Forward vehicle recognition,Automotive safety driver assistant system

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