Age is an important human attribute that needs to be determined for various purposes,
including security, health, human identification, and law enforcement. Hence, there is an …

Recently the methods based on silhouettes achieve significant improvement for gait
recognition. The performance, eg, 96.4% on the largest OUMVLP, indicates that a promising …

Gait is an attractive biometric identifier, playing an essential role in addressing the issue of
identity and attribute recognition in surveillance for its non-invasive and non-cooperative …

This paper presents an online human model-based framework for gait-based age and
gender estimation from a sequence of monocular frames. More specifically, we fine-tune a …

The tools for creating and analyzing gaits are improving all the time. Demand for a gait-
based dataset that can be recognized and used to extract useful information is at an all-time …

In this paper, we describe an uncertainty-aware estimation framework for gait relative
attributes. We specifically design a two-stream network model that takes a pair of gait videos …

Locomotive Syndrome (LS) is defined by decreased walking and standing abilities due to
musculoskeletal issues. Early diagnosis is vital as LS can be reversed with appropriate …

Human biometric analysis has gotten much attention due to its widespread use in different
research areas, such as security, surveillance, health, human identification, and …

Deep learning techniques have recently been utilized for model-free age-associated gait
feature extraction. However, acquiring model-free gait demands accurate pre-processing …

The precise estimation of age is pivotal in identity verification across critical security
checkpoints, including seaports, land borders, and airports. This study introduces an …