Gait recognition has gained increasing interest from researchers, but there is still no
standard evaluation method to compare the performance of different gait recognition …

Potential sources for gait biometrics can be seen to derive from two aspects: gait shape and
gait dynamics. We show that improved gait recognition can be achieved after normalization …

Recognizing people by gait has a unique advantage over other biometrics: it has potential
for use at a distance when other biometrics might be at too low a resolution, or might be …

Human gait is an important biometric feature. It can be perceived from a great distance and
has recently attracted greater attention in video-surveillance-related applications, such as …

A person's gait changes when he or she is carrying an object such as a bag, suitcase or
rucksack. As a result, human identification and tracking are made more difficult because the …

In recent years, many gait recognition algorithms have been developed, but most of them
depend on a specific view angle. However, view angle variation is a significant factor among …

A new video based recognition method is presented to recognize non-cooperating
individuals at a distance in video, who expose side views to the camera. Information from …

Shape and kinematics are two important cues in human movement analysis. Due to real
difficulties in extracting kinematics from videos accurately, this paper proposes to address …

Human identification from gait is a challenging task in realistic surveillance scenarios in
which people walking along arbitrary directions are imaged by a single camera. In this …

In this paper, we present a novel approach based on gait energy image (GEI) and co-
evolutionary genetic programming (CGP) for human activity classification. Specifically, Hu's …