Recent advancement of research in biometrics, computer vision, and natural language
processing has discovered opportunities for person retrieval from surveillance videos using …

Face as a biometric attribute has been extensively studied over the past few decades. Even
though, satisfactory results are already achieved in controlled environments, the practicality …

A person is commonly described by attributes like height, build, cloth color, cloth type, and
gender. Such attributes are known as soft biometrics. They bridge the semantic gap between …

It is not uncommon to hear a person of interest described by their height, build, and clothing
(ie type and colour). These semantic descriptions are commonly used by people to describe …

The location of previously unseen and unregistered individuals in complex camera networks
from semantic descriptions is a time consuming and often inaccurate process carried out by …

Person search has become one of the most critical and challenging applications in today's
video surveillance systems. It helps in locating a person in surveillance videos, which is …

As critical infrastructure such as transportation hubs continue to grow in complexity, greater
importance is placed on monitoring these facilities to ensure their secure and efficient …

Surveillance videos can be searched for person identification using soft-biometrics. The
proposed paper use clothes color and their type for person identification in a video. A height …

Video surveillance improves public safety by preventing and sensing criminal activity,
enhancing quick counteractions, and presenting evidence to investigators. This is effectively …

The solutions proposed in this thesis contribute to improve gait recognition performance in
practical scenarios that further enable the adoption of gait recognition into real world security …