As the increased demand of modern manufacturing industry for product quality, production efficiency, and operation safety, video monitoring technology has been used more and more widely, which requires better precision and higher speed for video processing technology. Detecting moving object is the foundation for understanding and analyzing the video. Therefore, the algorithm for detecting moving object under industry background has been a hot research topic. Nevertheless, as an important component of this algorithm, the background features used in the moving object detection technologies have not received enough attention. Therefore, in this study, we demonstrate how to utilize visualization technology to extract the background features from the given pixel data and existing algorithm and then visualize the related features and data, which will help to obtain the relationships among these background features in a more straightforward way so that we can further explore them. The relationships among these background features can also be used for guiding algorithm design.