Recognizing human activities from video sequences or still images is a challenging task due
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …

Anomaly analysis is an important component of any surveillance system. In recent years, it
has drawn the attention of the computer vision and machine learning communities. In this …

In recent years, there has been a proliferation of works on human action classification from
depth sequences. These works generally present methods and/or feature representations …

Ongoing human action recognition is a challenging problem that has many applications,
such as video surveillance, patient monitoring, human–computer interaction, etc. This paper …

Abstract Human Action Recognition (HAR) has achieved a remarkable milestone in the field
of computer vision. Apart from its varied applications in human–computer interactions …

Online human gesture recognition has a wide range of applications in computer vision,
especially in human-computer interaction applications. Recent introduction of cost-effective …

This paper presents a novel and efficient framework for group activity analysis. People in a
scene can be intuitively represented by an undirected graph where vertices are people and …

This paper proposes a matrix-based feature selection and classification method that takes
the advantage of L 2, 1-norm regularization. Current studies show that feature extraction and …

Human action recognition is one of the most important topics in computer vision. Monitoring
elderly people and children, smart surveillance systems and human-computer interaction …

针对应用机器视觉对促进制造业发展所具有的重要现实意义, 在分析机器视觉在制造业应用模式
的基础上, 以机械产品装配作业为研究对象, 设计了基于机器视觉的机械产品装配系统在线作业 …