Moving object detection based on consecutive blocks frame difference and background subtraction

TLDR: Experimental results indicate that the proposed novel approach for moving detection has the characteristics of fast operation and great robustness, and it can detect the moving object effectively.

Abstract: This paper proposed a novel approach for moving detection,which employed blocks frame difference and background subtraction.It used block processing method to establish the initial background model and it divided the sequence ima-ge of video into several blocks which was detected by self-adaptive threshold inter-frame difference,and separeted roughly the motion region.Then it carried on fine-grained segmentation through double-threshold background subtracting for the motion region,and used the adaptive background updating to overcome the light changing and background interference.Experimental results indicate that the method has the characteristics of fast operation and great robustness,and it can detect the moving object effectively.