A video analysis system used to detect events in video streams generally has several
processes, including object detection, object trajectories analysis, and recognition of the …

Video sequence interpretation attempts to make sense of events that occur when they have
been captured on video. When such scenario understanding can be employed in real-time …

This paper presents a video surveillance system in the environment of a stationary camera
that can extract moving targets from a video stream in real time and classify them into …

The use of contextual information can significantly aid scene understanding of surveillance
video. Just detecting people and tracking them does not provide sufficient information to …

Video surveillance technology, based on Closed Circuit Television (CCTV) cameras, is one
of the fastest growing markets in the field of security technologies. However, the existing …

Automated visual surveillance systems are attracting extensive interest due to public
security. In this paper, we attempt to mine semantic context information including object …

Current video event recognition research remains largely target-centered. For real-world
surveillance videos, target-centered event recognition faces great challenges due to large …

Digital video is being used widely in a variety of applications such as entertainment,
surveillance and security. Large amount of video in surveillance and security requires …

This paper presents an intelligent video surveillance system with the metadata rule for the
exchange of analyzed information. We define the metadata rule for the exchange of …

The purpose of this paper is to investigate a real-time system to detect context-independent
events in video shots. We test the system in video surveillance environments with a fixed …