This work presents a novel approach to the problem of real-time human action recognition in
intelligent video surveillance. For more efficient and precise labeling of an action, this work …

Video analysis technology has become less expensive and more powerful in terms of
storage resources and resolution capacity, promoting progress in a wide range of …

This thesis targets the automatic recognition of human actions in videos. Human action
recognition is defined as a requirement to determine what human actions occur in videos …

Given a video sequence, the task of action recognition is to identify the most similar action
among the action sequences learned by the system. Such human action recognition is …

We propose a unified method for recognizing human action and human related events in a
realistic video. We use an efficient pipeline of (a) a 3D representation of the Improved Dense …

A motion energy image (MEI) is a spatial template that collapses regions of motion into a
single image in which more moving pixels are brighter than others. The forward single-step …

Detecting and recognizing human action in natural scenarios, such as indoor and outdoor, is
a significant technique in computer vision and intelligent systems, which is widely applied in …

This paper introduces an efficient video representation method based on the dense
trajectory motion map (DTM). We utilize the salient features of dense trajectories and motion …

Action recognition has very high academic research value, potential commercial value and
wide market application prospect in computer vision. In order to improve the action …

Recognition of human actions form videos has been an active area of research because it
has applications in various domains. The results of work in this field are used in video …