Vision-based intelligent surveillance system: Multi-tasks implementation

Abstract

This paper presents development of vision-based intelligent surveillance system which covers multiple tasks, such as abandoned object detection, fire and smoke detection, human detection and tracking, sterile zone monitoring, and illegally parked vehicle detection. Our goal is combining all these tasks into integrated system considering not only high accuracy, but also fast processing time.