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OPENCV-HOG pedestrian detection
4.3
Using the OpenCV library's already training of SVM for pedestrian detection. OpenCV with positive and negative samples, mainly from the SVM classifier HOG pedestrian recognition method invented by Dr NavneetDalal in 2005 upon graduation, graduation theses algorithms used in the positive and negative samples. Under normal conditions, pedestrian detection rate of 80% per cent, if it uses more specific scenario training samples of positive and negative SVM classifiers. Pedestrian detection accuracy rate will be further improved.
alvin056
2016-08-23
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