Recognizing human actions, reliably inferring their meaning and being able to potentially
exchange mutual social information are core challenges for autonomous systems when they …

Recognizing human actions is a core challenge for autonomous systems as they directly
share the same space with humans. Systems must be able to recognize and assess human …

Human pose estimation and action recognition are related tasks since both problems are
strongly dependent on the human body representation and analysis. Nonetheless, most …

Human pose estimation aims at predicting the poses of human body parts in images or
videos. Since pose motions are often driven by some specific human actions, knowing the …

Recent work in human activity recognition has focused on bottom-up approaches that rely
on spatiotemporal features, both dense and sparse. In contrast, articulated motion, which …

We consider the problem of estimating human pose and trajectory by an aerial robot with a
monocular camera in near real time. We present a preliminary solution whose distinguishing …

Human pose analysis has garnered significant attention within both the research community
and practical applications, owing to its expanding array of uses, including gaming, video …

Distributed camera network for human pose estimation can solve the problem of limited view
and occlusion of single view, which has great potential for wide area surveillance …

Most video-based action recognition approaches choose to extract features from the whole
video to recognize actions. The cluttered background and non-action motions limit the …

Action recognition and pose estimation are two closely related topics in understanding
human body movements; information from one task can be leveraged to assist the other, yet …