GAIT PATTERN RECOGNITION USING DEEP LEARNING

In this work we investigate the problem of people recognition by their gait. For this task, we implement a deep learning approach using the Neural Networks as the main source of motion information and combine neural feature extraction with the additional embedding of descriptors for representation improvement. To find the best heuristics, we compared several deep neural network architectures, learning and classification strategies. The experiments were made on two popular datasets for gait recognition, so we investigate their advantages and disadvantages and the transferability of considered methods.