Biometric technologies, such as finger-or facial-scan, are being deployed across a variety of
social contexts in order to facilitate and guarantee identity verification and authentication. In …

Person re-identification (Re-ID) via gait features within 3D skeleton sequences is a newly-
emerging topic with several advantages. Existing solutions either rely on hand-crafted …

With rapid advancements in depth sensors and deep learning, skeleton-based person re-
identification (re-ID) models have recently achieved remarkable progress with many …

This paper presents an improved approach on identifying users based on three-dimensional
gait acceleration signal characteristics produced by walking. When the user carries the …

For obtaining optimal performance, as many informative cues as possible should be
involved in the gait recognition algorithm. This paper describes a gait recognition algorithm …

Gait and static body measurement are important biometric technologies for passive human
recognition. Many previous works argue that recognition performance based completely on …

This paper investigates a new attack method to gait recognition systems. Different from
typical spoofing attacks that require impostors to mimic certain clothing or walking styles, it …

Gait-based person re-identification (Re-ID) is valuable for safety-critical applications, and
using only 3D skeleton data to extract discriminative gait features for person Re-ID is an …

Gait is an important biometric technology for human identification at a distance. This study
focuses on gait features obtained by Microsoft Kinect and proposes a new model-based gait …

Person re-identification via 3D skeletons is an important emerging research area that
triggers great interest in the pattern recognition community. With distinctive advantages for …