Gait recognition has emerged as an attractive biometric technology for the identification of
people by analysing the way they walk. However, one of the main challenges of the …

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 …

Global security concerns have raised a proliferation of video surveillance devices. Intelligent
surveillance systems seek to discover possible threats automatically and raise alerts. Being …

This book presents newly applied concepts for biomedical applications of singular spectrum
analysis (SSA) and introduces a new mathematical and signal processing technique for the …

A problem that hinders good performance of general gait recognition systems is that the
appearance features of gaits are more affected-prone by views than identities, especially …

Gait recognition has attracted growing attention in recent years, as the gait of humans has a
strong discriminative ability even under low resolution at a distance. Unfortunately, the …

Many studies have shown that it is possible to recognize people by the way they walk.
However, there are a number of covariate factors that affect recognition performance. The …

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 …

Existing view-invariant gait recognition methods encounter difficulties due to limited number
of available gait views and varying conditions during training. This paper proposes gait …

Interest in the security of individuals has increased in recent years. This increase has in turn
led to much wider deployment of surveillance cameras worldwide, and consequently …