Human Action Recognition (HAR) is the classification of an action performed by a human.
The goal of this study was to recognize human actions in action video sequences. We …

A shape-motion prototype-based approach is introduced for action recognition. The
approach represents an action as a sequence of prototypes for efficient and flexible action …

摘要基于视觉的人体动作识别是图像处理, 计算机视觉, 模式识别, 机器学习,
人工智能等多个学科的交叉研究课题, 在视频监控, 视频检索, 人机交互, 虚拟现实 …

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 …

In recent years, human action recognition is modeled as a spatial-temporal video volume.
Such aspects have recently expanded greatly due to their explosively evolving real-world …

Obtaining fast and good-quality approximations to data distributions is a problem of central
interest to database management. A variety of popular database applications, including …

Human action recognition in videos is useful for many applications. However, there still exist
huge challenges in real applications due to the variations in the appearance, lighting …

In this paper, a 2D representation of a video clip called video spatiotemporal map (VSTM) is
presented. VSTM is a compact representation of a video clip which incorporates its spatial …

This paper presents a novel space-time feature-based human activity analysis system. We
detect Space Time Interest Points (STIP) and generate their description based on the facet …

Inspired by progresses in cognitive science, artificial intelligence, computer vision, and
mobile computing technologies, we propose and implement a wearable virtual usher for …