Abstract Human Activity Recognition (HAR) plays a significant role in the everyday life of
people because of its ability to learn extensive high-level information about human activity …

Gait recognition is an appealing biometric modality which aims to identify individuals based
on the way they walk. Deep learning has reshaped the research landscape in this area …

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 …

Person re-identification (Re-ID) plays an important role in many areas such as robotics,
multimedia and forensics. However, it becomes difficult when considering long-term …

Gait recognition aims to identify a person at a distance, serving as a promising solution for
long-distance and less-cooperation pedestrian recognition. Recently, significant advances …

A biometric system is a technology that utilizes an individual's unique physiological and
behavioral characteristics to identify and authenticate them. It falls under the category of …

Gait is a pattern of a person's walking. The body movements of a person while walking
makes the gait unique. Regardless of the uniqueness, the gait recognition process suffers …

Image segmentation for video analysis plays an essential role in different research fields
such as smart city, healthcare, computer vision and geoscience, and remote sensing …

Human Gait Recognition (HGR) is a biometric technique that has been utilized for security
purposes for the last decade. The performance of gait recognition can be influenced by …

Abstract Person Recognition based on Gait Model (PRGM) and motion features is are
indeed a challenging and novel task due to their usages and to the critical issues of human …