Using Fast region-based convolutional neural network（ Fast RCNN） for reference

propose pedestrian detection method based on Faster RCNN. in target recognition field

. Image features are extracted by CNN. A region proposal network（ RPN） is built up to extract regions that might contain pedestrians combined with K-means cluster analysis. And the region is identified and classified by detection network. The method is tested in the INRIA dataset. Experimental results show that compared with the method of pedestrian detection based on DMP

the proposed method achieves the accuracy of 92. 7 %

it performs better

compared with other algorithms.