Smart living, an increasingly prominent concept, entails incorporating sophisticated
technologies in homes and urban environments to elevate the quality of life for citizens. A …

Computer vision techniques capable of detecting human behavior are gaining interest.
Several researchers have provided their review on behavior detection, however most of the …

Recognition of the activities of human, image sequences is most active area of research in
computer vision and most of the previous projects, the focus of the activity is to acknowledge …

Human activity recognition has become one of the most active areas of research in computer
vision, due to its increasing demand in many automated monitoring applications such as …

This paper addresses the problem of silhouette-based human activity recognition. Most of
the previous work on silhouette based human activity recognition focus on recognition from …

Video surveillance is an important area of computer vision research, its applications
including both outdoor and indoor automated surveillance systems. In the context of smart …

Activity recognition is having a wide range of applications in automated surveillance and is
an active research topic among computer vision community. In this paper, an activity …

In this study, we advocate the importance of robust local features that allow object form to be
distinguished from other objects for detection purpose. We start from the grid of Histogram of …

Great efforts are made for the recognition of a person's activity, still it is challenging research
domain in security and surveillance. This paper proposes an efficient framework to …

Classification of objects in video stream is important because of its application in many
emerging areas such as visual surveillance, content based video retrieval and indexing etc …