In the digital world of today, global security issues have given rise to video surveillance
devices. Gait-based human recognition is an emerging behavioral biometric trait for …

Gait recognition aims at identifying a person at a distance through visual cameras. With the
emergence of deep learning, significant advancements in gait recognition have achieved …

Cloth-Changing person re-identification (CC-ReID) aims at matching the same person
across different locations over a long-duration, eg, over days, and therefore inevitably has …

Gait, the walking pattern of individuals, is one of the most important biometrics modalities.
Most of the existing gait recognition methods take silhouettes or articulated body models as …

Person re-identification (re-id), the process of matching pedestrian images across different
camera views, is an important task in visual surveillance. Substantial development of re-id …

Most existing gait recognition approaches adopt a two-step procedure: a preprocessing step
to extract silhouettes or skeletons followed by recognition. In this paper, we propose an end …

Gait recognition is beneficial for a variety of applications, including video surveillance, crime
scene investigation, and social security, to mention a few. However, gait recognition often …

Gait recognition is of great importance in the fields of surveillance and forensics to identify
human beings since gait is the unique biometric feature that can be perceived efficiently at a …

Gait recognition, ie, recognizing persons from their walking postures, has found versatile
applications in security check, health monitoring, and novel human-computer interaction …

Body joints, directly obtained from a pose estimation model, have proven effective for action
recognition. Existing works focus on analyzing the dynamics of human joints. However …