Machine vision, an interdisciplinary field that aims to replicate human visual perception in
computers, has experienced rapid progress and significant contributions. This paper traces …

Automated human posture estimation (A-HPE) systems need delicate methods for detecting
body parts and selecting cues based on marker-less sensors to effectively recognize …

Intelligent visual surveillance systems are attracting much attention from research and
industry. The invention of smart surveillance cameras with greater processing power has …

Understanding of human action and activity from video data is growing field and received
rapid importance due to surveillance, security, entertainment and personal logging. In this …

Anthropometric dimensions, such as lengths, heights, breadths, circumferences and their
ratios are highly significant in healthcare, security, sports, clothing, tools and equipment …

This paper presents human action recognition method based on silhouette sequences and
simple shape descriptors. The proposed solution uses single scalar shape measures to …

A few light stimuli coherently distributed in the space and time are the essential input that a
visual system needs to perceive motion. Inspired in such fact, a compact motion descriptor is …

Some recent artificial neural networks (ANNs) claim to model aspects of primate neural and
human performance data. Their success in object recognition is, however, dependent on …

Human action recognition system proposed here recognizes the behavior of a person in real-
time. The system aims at communicating the recognized gestures with the camera system …

This paper presents the idea of using simple shape features for action recognition based on
binary silhouettes. Shape features are analysed as they change over time within an action …