Real-Time and Robust Background Updating for Video Surveillance and Monitoring

Abstract. Background updating is an important aspect of dynamic scene analysis. Two critical problems: sudden camera perturbation and the sleeping person problem, which arise frequently in real-world surveillance and monitoring systems, are addressed in the proposed scheme. The paper presents a multi-color model where multiple color clusters are used to represent the background at each pixel location. In the proposed background updating scheme, the updates to the mean and variance of each color cluster at each pixel location incorporate the most recently observed color values. Each cluster is assigned a weight which measures the time duration and temporal recurrence frequency of the cluster. The sleeping person problem is tackled by virtue of the observation that at a given pixel location, the time durations and recurrence frequencies of the color clusters representing temporarily static objects are smaller compared to those of color clusters representing the true background colors whe...

• Type: Conference
• Year: 2005
• Where: ICIAR
• Authors: Xingzhi Luo, Suchendra M. Bhandarkar
• Keywords: Background Updating Scheme, Color Clusters, ICIAR 2005, Pixel Location