Yang Dai*, Zhiyuan Luo
Journal of New Media, Vol.3, No.4, pp. 129-136, 2021, DOI:10.32604/jnm.2021.023981
Abstract Person re-identification (re-ID) aims to match images of the same
pedestrian across different cameras. It plays an important role in the field of
security and surveillance. Although it has been studied for many years, it is still
considered as an unsolved problem. Since the rise of deep learning, the accuracy
of supervised person re-ID on public datasets has reached the highest level.
However, these methods are difficult to apply to real-life scenarios because a
large number of labeled training data is required in this situation. Pedestrian
identity labeling, especially cross-camera pedestrian identity labeling, is heavy
and expensive. Why we cannot… More >
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