Video-based human action recognition is currently one of the most active research areas in
computer vision. Various research studies indicate that the performance of action …

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 …

Abstract Human Action Recognition (HAR) has become one of the most active research area
in the domain of artificial intelligence, due to various applications such as video surveillance …

Human action recognition and video summarization represent challenging tasks for several
computer vision applications including video surveillance, criminal investigations, and sports …

Although synthetic training data has been shown to be beneficial for tasks such as human
pose estimation, its use for RGB human action recognition is relatively unexplored. Our goal …

It is a great challenge to differentiate partial discharge (PD) induced by different types of
insulation defects in high-voltage cables. Some types of PD signals have very similar …

The pursuit of early diagnosis of cerebral palsy has been an active research area with some
very promising results using tools such as the General Movements Assessment (GMA). In …

Multi-view action recognition aims to identify action categories from given clues. Existing
studies ignore the negative influences of fuzzy views between view and action in …

Arbitrary-view human action recognition is still a big challenge due to the view changes. A
possible solution is to enlarge the view range of action samples in the training set …

The ability to synthesize multi-modality data is highly desirable for many computer-aided
medical applications, eg clinical diagnosis and neuroscience research, since rich imaging …