The invention discloses a
pedestrian re-identification method, device and equipment and a storage medium. The
pedestrian re-identification method comprises the following steps: inputting each frame ofpedestrian picture into a residual error network to extract features; inputting features extracted from two adjacent frames into an
optical flow graph prediction network to obtain a frame of opticalflow graph; inputting the features of the previous frame and the
optical flow graph into a
feature fusion device for fusion; inputting the fusion features and the
optical flow graph of each frame intoa long-short-
term memory network with an optical flow graph
processing mechanism, inputting the obtained multi-frame data output features into a uniform volume integral
block model for horizontal block
processing, performing classification loss training on each block, and taking a classification
score as a weight; multiplying the
feature vector of each block by the weight to obtain a contrast
loss function, training the whole
pedestrian re-identification asymmetric twin
network model, and carrying out pedestrian re-identification. According to the method,
complementation information of multiple frames of pictures can be fused to generate complete pedestrian characteristics,
noise information is removed, cost is saved, and recognition accuracy is improved.