Automatic Moving Object Detection and Tracking with Mean Shift for Surveillance System

This paper describes an automatic detection and tracking method for unknown object from unclear background. Our method consists of two processes, the detection process and the tracking process. The former process is the background subtraction method and the block-based clustering. The latter process is with mean shift method. To detect an accurate size of the target region, we set a correction period. Demonstration was carried out with a scene which three men are appeared and walked. It is found that two regions could be tracked even when two men was walked toward different direction which they walking together. We confirmed that the proposed method could process on real time.