Moving Object Detection Based on Adaptive Background Updating Algorithm
Zhiyong Tang, Zhenji Yang, Kun Liu, Zhongcai Pei · Advances in computer science research · 2016
Background modeling and subtraction method is an important part in motion detection.In this paper, we propose a novel moving object detection method based on four frame difference arithmetic of adaptive background updating algorithmto build the background model.The method employs dynamic threshold in order to adapt to the sudden changes in lights.According to different labels in background, this paper defines different updating rate, and analyzes the image features of moving object area.Experimental results show that, the algorithm can effectively remove noise and rapidly respond to practical scene changes.