Human identification plays a significant role in ensuring social security. However, face-
based and appearance-based retrieval methods are not effective in monitoring due to the …

Gait is the walking posture of a human, which involves movements of joints at upper limbs
and lower limbs of the body. In gait recognition, the human appearance changes are taken …

Gait recognition aims to identify person by walking pattern of individuals, which has a
valuable application prospect in the fields of identity identification, public security and …

Gait recognition is one of the most important biometric technologies and has been applied in
many fields. Recent gait recognition frameworks represent each gait frame by descriptors …

In this paper, we propose a novel network structure GaitNet, which treats gait as a set of
disordered sequences, compares different sequences to extract features, and introduces …

Gait is a unique biometric trait with several useful properties. It can be recognized remotely
and without the cooperation of the individual, with low-resolution cameras, and it is difficult to …

Gait recognition, a biometric identification method, has garnered significant attention due to
its unique attributes, including non-invasiveness, long-distance capture, and resistance to …

In order to extract the gait spatial-temporal feature, we propose a novel Long-Short Term
Memory (LSTM) network for gait recognition in this paper. Given a gait sequence, a CNNs …

Gait recognition is one of the essential biometric technologies. It is widely used in security
surveillance and other fields. The key to gait recognition is to extract robust spatio-temporal …

At present, many studies have shown that partitioning the gait sequence and its feature map
can improve the accuracy of gait recognition. However, most models just cut the feature map …