This paper proposes a framework to aid video analysts in detecting suspicious activity within the tremendous amounts of video data that exists in today’s world of omnipresent su...
Using cameras for detecting hazardous or suspicious events has spurred new research for security concerns. To make such detection reliable, researchers must overcome difficulties...
Yi-Leh Wu, Long Jiao, Gang Wu, Edward Y. Chang, Yu...
Abstract. This paper presents a complete visual surveillance system for automatic scene interpretation of airport aprons. The system comprises two main modules — Scene Tracking a...
James M. Ferryman, Mark Borg, David Thirde, Floren...
In this paper, we describe the Toshiba event detection system for TRECVID surveillance event detection task [1]. Our system consists of four components: (1) a flexible and robust ...
We present a method that automatically detects chewing events in surveillance video of a subject. Firstly, an Active Appearance Model (AAM) is used to track a subject’s face acr...