A moving object detection approach using integrated background template for smart video sensor

Abstract

In this paper, a system structure and concept of smart video processing is presented to illustrated meaningful descriptions extracted from input video and associated with raw video stream crucial to the system. Then, we propose an integrated approach for moving object detection to get the descriptions used for smart video sensor. A statistical algorithm is used to obtain the background model, which is updated real time in order to adapt to changes of illumination and objects in the scene. After applying a threshold to separate candidates in foreground and background, morphologic analysis and area measurement of connected region are used to eliminate background disturbances. Finally, the shadow is detected using HSV color space information to get accurate moving objects. The results of experiments showed a satisfied performance with the proposed approach.