Improved vehicle detection system based on customized HOG
نویسندگان
چکیده
Recently, obstacles detection and identification task in ADAS is a well-established research field. Histogram of oriented gradients (HOG) is one of the most effective obstacle feature extraction approaches to the study. In this paper, an optimization detection system based on a customized HOG descriptor is presented and investigated to achieve an accurate vehicle recognition system. The key concept is to distribute an amplification factor for each bin weight according to its contribution in the vehicle-extracted features. Performance studies using a Linear SVM classifier in MATLAB and heterogeneous databases of vehicle and non-vehicle images prove the effectiveness of our approach. Keywords— ADAS; HOG features; vehicle detection; MATLAB.
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