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 …

Automatic Gender Recognition (AGR) refers to various computational methods that aim to
identify an individual's gender by extracting and analyzing features from images, video …

Recent research has explored the possibility of extracting ancillary information from primary
biometric traits viz., face, fingerprints, hand geometry, and iris. This ancillary information …

Automatic age and gender classification has been widely used in a large amount of
applications, particularly in human-computer interaction, biometrics, visual surveillance …

This paper describes the world's largest gait database-the “OU-ISIR Gait Database, Large
Population Dataset”-and its application to a statistically reliable performance evaluation of …

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 …

This paper gives a comprehensive study on gait biometrics via a joint CNN-based method.
Gait is a kind of behavioral biometric feature with unique advantages, eg, long-distance …

In this paper, we propose a novel gait representation—gait flow image (GFI) for use in gait
recognition. This representation will further improve recognition rates. The basis of GFI is the …

We investigate the problem of human identity and gender recognition from gait sequences
with arbitrary walking directions. Most current approaches make the unrealistic assumption …