Frame differencing with post-processing techniques for moving object detection in outdoor environment

Background subtraction is a process of separating moving foreground objects from the non-moving background. This technique must adapt to the illumination, motion and the geometry background changes such as shadow, reflections, and etc. In this paper, one of the traditional background subtraction techniques which is frame differencing (FD) is conducted to detect the moving object in outdoor environment. The result of moving object detection using FD is not perfect that enable this research to experimental two existing post-processing techniques which are adaptive threshold and shadow detection in HSV color space for outdoor environment. Experimental result showed that FD with post-processing techniques are able to detect good moving object in outdoor environment with no shadow based on accuracy improvement data.