Human activity recognition is an important area of computer vision research. Its applications
include surveillance systems, patient monitoring systems, and a variety of systems that …

With the maturity of sensing and pervasive computing techniques, extensive research is
being carried out in using different sensing techniques for understanding human behaviour …

Human activity recognition (HAR) is a complex and multifaceted problem. The research
community has reported numerous approaches to perform HAR. Along with HAR …

This paper provides a comprehensive survey for activity recognition in video surveillance. It
starts with a description of simple and complex human activity, and various applications. The …

As robots are gradually leaving highly structured factory environments and moving into
human populated environments, they need to possess more complex cognitive abilities …

During the last years, the task of automatic event analysis in video sequences has gained an
increasing attention among the research community. The application domains are disparate …

Analysis of motion patterns is an effective approach for anomaly detection and behavior
prediction. Current approaches for the analysis of motion patterns depend on known scenes …

In order to provide relevant information to mobile users, such as workers engaging in the
manual tasks of maintenance and assembly, a wearable computer requires information …

Human action recognition has been an important topic in computer vision due to its many
applications such as video surveillance, human machine interaction and video retrieval. One …

In this paper, we propose a trajectory clustering algorithm suited for video surveillance
systems. Trajectories are clustered on-line, as the data are collected, and clusters are …