Pedestrian target detection and recognition method based on monocular vision and deep learning

The invention belongs to the technical field of pedestrian target detection, and discloses a pedestrian target detection and recognition method based on monocular vision and deep learning. The methodincludes: establishing a small sample pedestrian data set, and collecting road pedestrian images in a real scene; performing pedestrian detection based on the whole image candidate and a single regression target detection algorithm based on depth features; finely adjusting weight parameters of a higher layer of the network on the VOC data set and the small sample pedestrian data set through secondary transfer learning; based on multi-scale pyramid image feature extraction with consistent phases, extracting contour features of pedestrian images, and obtaining a multi-scale pyramid feature map;and adopting a balanced focus loss function to replace a cross entropy loss function to measure the classification accuracy of the target. According to the invention, the CNN is used to obtain depth features, a deformable comp