In this paper, a human action recognition method is presented in which pose representation
is based on the contour points of the human silhouette and actions are learned by making …

Driving is an intricate task where different demands compete for the driver's attention.
Current interface designs present novel multi-modal interactions that extend beyond …

Human action recognition plays an important role in modern intelligent systems, such as
human–computer interaction (HCI), sport analysis, and somatosensory game. Compared …

Systems and methods for managing visual allocation are provided herein that use models to
determine states based on visual data and, based thereon, output feedback based on the …

This paper presents a novel multi-view human action recognition approach based on a bag-
of-key-poses. In the case of multi-view scenarios, it is especially difficult to perform accurate …

In this work, we propose a novel human action recognition (HAR) technique for human
silhouette sequence based on spatio-temporal body parts movement (STBPM) and action …

This paper presents a novel silhouette‐based feature for vision‐based human action
recognition, which relies on the contour of the silhouette and a radial scheme. Its low …

This paper presents a technique for view invariant human detection and extending this idea
to recognize basic human actions like walking, jogging, hand waving and boxing etc. To …

Human action recognition constitutes a core component of advanced human behavior
analysis. The detection and recognition of basic human motion enables to analyze and …

Human action recognition from video has several potential to apply in different real-life
applications, but the most cases in this field suffer from the variation in viewpoint. Most of …