Meeting the application requirements of intelligent video surveillance systems in moving object detection

In a video surveillance system, moving object detection is the most challenging problem especially if the system is applied to complex environments with variable lighting, dynamic and articulate scenes, etc. Furthermore, a video surveillance system is a real-time application, so discouraging the use of good, but computationally expensive, solutions. This paper presents a set of improvements of a basic background subtraction algorithm that are suitable for video surveillance applications, Besides we present a new performance evaluation scheme never used in the context of moving object detection algorithms.