Using harr feature+SRC (sparse representation) classification to achieve a vehicle detection method, the paper provides a training and test vehicle picture. Due to time reasons, the use of haar feature is not optimized, high dimension, resulting in sliding sash figure is too slow, the effect of the code only output statistics for your reference learning sparse representation in the vehicle detection.

Haar特征+SRC（稀疏表示）分类的车辆检测
......................................\GPSR_Basic.m
......................................\IntegralImage.m
......................................\SRC.asv
......................................\SRC.m
......................................\extHarrLikeFeature.m
......................................\harrcartest.asv
......................................\harrcartest.m
......................................\result.mat
......................................\test
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