Abstract：Gait recognition methods have difficulty in achieving satisfactory performance, since the gait is vulnerable to covariates such as occlusion, clothing, view angles and carrying condition. Based on the framework of end-to-end learning and multi-layer feature extraction technology, fruitful achievements are made by applying deep learning to the field of gait recognition. The status quo, pros and cons of deep learning in gait recognition are reviewed, and the key technologies and several potential research directions are discussed.
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