In this competitive world, the supervision and monitoring of human resources are primary
and necessary tasks to drive context-aware applications. Advancement in sensor and …

Open-set activity recognition remains as a challenging problem because of complex activity
diversity. In previous works, extensive efforts have been paid to construct a negative set or …

We develop a novel radar-based human motion recognition technique that exploits the
temporal sequentiality of human motions. The stacked recurrent neural network (RNN) with …

This work is motivated by the tremendous achievement of deep learning models for
computer vision tasks, particularly for human activity recognition. It is gaining more attention …

The human action is an important information source for human social interaction, and it
simultaneously plays a crucial role in human-robot interaction (HRI). For a natural and fluent …

Current researches mainly focus on single-view and multiview human action recognition,
which can hardly satisfy the requirements of human-robot interaction (HRI) applications to …

The research community is puzzled with words like skill, action, atomic unit and others when
describing robots' capabilities. However, for giving the possibility to integrate capabilities in …

People in crowd scenes always exhibit consistent behaviors and form collective motions.
The analysis of collective motion has motivated a surge of interest in computer vision …

Abstract Analysis of human behavior through visual information has been one of the active
research areas in computer vision community during the last decade. Vision-based human …

Human actions involve a wide variety and a large number of categories, which leads to a big
challenge in action recognition. However, according to similarities on human body poses …