Recently still image-based human action recognition has become an active research topic in
computer vision and pattern recognition. It focuses on identifying a person׳ s action or …

Rapid development of motion sensors and video processing has triggered growing attention
to action recognition for safety and health analysis, as well as operation analysis, in …

Human motion can be carried out with a variety of different affects or styles such as happy,
sad, energetic, and tired among many others. Modeling and classifying these styles, and …

A recent trend of research has shown how contextual information related to an action, such
as a scene or object, can enhance the accuracy of human action recognition systems …

Graph-based methods are a useful class of methods for improving the performance of
unsupervised and semi-supervised machine learning tasks, such as clustering or …

We present an algorithm for automatically clustering tagged videos. Collections of tagged
videos are commonplace, however, it is not trivial to discover video clusters therein. Direct …

该文研究并提出了一种轨迹引导下的举重视频关键姿态自动提取方法. 针对举重训练,
首先提取稳定的杠铃轨迹, 进一步分析杠铃轨迹和关键姿态之间的关系, 将杠铃轨迹和基于姿态 …

Action, activity and gesture recognition and analysis require various related datasets. In this
paper, we present a short survey on the associated important datasets. A background on the …

This paper addresses the problem of human activity recognition in still images. We propose
a novel method that focuses on human-object interaction for feature representation of …

While human action recognition is a very well studied topic, semi-supervised and
unsupervised tasks such as human action retrieval and human action clustering have …