Low-complexity moving object detection algorithm in dynamic background

The scale of the monitoring system is becoming larger and larger. In order to perform intelligent video processing in surveillance systems, we need to detect moving object in image sequence. Some methods in the literature can achieve a valid detection result, but usually they have high computational complexity. In the outdoor scenes, the background is usually dynamic, and the dynamic background makes it difficult to detect moving object. In order to solve these problems, we propose a new method with low computational complexity using mass center coordinate to expand the mask image. The proposed method can remove the interference of dynamic background in the detection. Experiment results show that our method can mask the dynamic background more completely while ensuring fast computation and consuming less hardware resources. The method can be used in massive video intelligent processing.