Recognizing people by their gait has become more and more popular nowadays due to the
following reasons. First, gait recognition can work well remotely. Second, gait recognition …

Visual surveillance has exponentially increased the growth of security devices and systems
in the digital era. Gait-based person identification is an emerging biometric modality for …

We propose a method of gait recognition just from a single image for the first time, which
enables latency-free gait recognition. To mitigate large intra-subject variations caused by a …

In real-world scenarios, walking/running speed is one of the most common covariate factors
that can affect the performance of gait recognition systems. By assuming the effect caused …

Predicting future frames in natural video sequences is a new challenge that is receiving
increasing attention in the computer vision community. However, existing models suffer from …

Most existing methods of identifying person except gait recognition require the cooperation
of the subjects. Aiming at detecting the pattern of human walking movement, gait recognition …

Random Subspace Method (RSM) has been demonstrated as an effective framework for gait
recognition. Through combining a large number of weak classifiers, the generalization errors …

Histograms of oriented gradients (HOG) is the most successful feature descriptor in
pedestrian detection; however, it is limited because of only considering the gradient. It has a …

Gait has been deemed as an alternative biometric in video-based surveillance applications,
since it can be used to recognize individuals from a far distance without their interaction and …

Main challenges of pedestrian detection are caused by the intra-class variation of
pedestrians in clothing, scales, deformations, occlusions, and backgrounds. The prevalent …