Title :
Automated Visual Surveillance in Realistic Scenarios
Author :
Shah, Mubarak ; Javed, Omar ; Shafique, Khurram
Author_Institution :
Central Florida Univ., Orlando, FL
Abstract :
In this article, we present Knight, an automated surveillance system deployed in a variety of real-world scenarios ranging from railway security to law enforcement. We also discuss the challenges of developing surveillance systems, present some solutions implemented in Knight that overcome these challenges, and evaluate Knight´s performance in unconstrained environments
Keywords :
computer vision; video surveillance; Knight system; automated visual surveillance; law enforcement; railway security; Cameras; Computer vision; Computerized monitoring; Humans; Law enforcement; Layout; Lighting; Object detection; Rail transportation; Surveillance; Automated surveillance; activity recognition; and wide-area surveillance systems; classification; multicamera tracking; object detection; tracking;
Journal_Title :
MultiMedia, IEEE
DOI :
10.1109/MMUL.2007.3
