Person ReID method based on metric learning with hard mining

摘要

#$%^&*AU2018100321A420180426.pdf#####Abstract Based on the construction of Resnet-50 model, related DNN conception, Triplet Loss and hard mining algorithm, this invention puts forward a method for re-identifying people through images or even videos, named person re-identification(ReID). Compare to other algorithms in ReID filed, The utilizing of the algorithm enable the invention to achieve a higher accuracy and efficiency, which will be articulated in the description. The invention mainly involves several steps: For the preparation of training model, images are collected from database market1501 on the internet and processed and the resnet-50 model will be constructed; then image features will be extracted as the input in the training phase, where, in the same time, the weights of the model will be consistently optimized by adopting Triplet Loss and hard mining algorithm; finally, the trained model will be saved and it is proved in the final test that it can reach a high accuracy in ReID tasks. 1training datasets epoch=O Input (contend of start trainin NOoch150 epoch+1 a updat YES save load module pictures F NO YESbackipropagation re in one batch which eautdaacosist of pc per I featur ti let ls Lons each_ k pcur Figure 1