Hand gesture recognition is viewed as a significant field of exploration in computer vision
with assorted applications in the human–computer communication (HCI) community. The …

人体动作行为识别因其在视频监控, 虚拟现实, 人机智能交互等领域的广泛应用而成为计算机
视觉领域的研究热点. 文中将人体动作行为识别问题归纳为计算机经过检测动作数据而获取并 …

This paper proposes a novel approach for gesture recognition from motion depth images
based on template matching. Gestures can be represented with image templates, which in …

The use of hand gestures can be a useful tool for many applications in the human-computer
interaction community. In a broad range of areas hand gesture techniques can be applied …

Recognizing human action under uncontrolled environment is significant for human–
computer interaction (HCI), especially for virtual reality game, sports narrative, and video …

This article presents an efficient hardware implementation of the Horn-Schunck algorithm
that can be used in an embedded optical flow sensor. An architecture is proposed, that …

This paper explores the performance of Neural Network (NN) for human action recognition
and proposes a novel hierarchical and boosting-based action recognition system …

In the present work, we have proposed an efficient approach for human action recognition
(HAR) from silhouette image sequence in videos. The efficiency of the approach lies in …

Optical flow is an important computer vision technique used for motion estimation, object
tracking and activity recognition. In this paper, we study the effectiveness of the optical flow …

Automatically clustering various sophisticated human activities (eg, dancing, martial arts,
and gymnastics) based on their quality scores is an indispensable technique in physical …