Journal of Data Processing Noha Sarhan, Yasser El-Sonbaty, Sherin Youssef 5 2 2015 http://www.dline.info/jdp/fulltext/v5n2/v5n2_3.pdf Depth information plays an important role in many computer vision applications including moving object detection. In this paper, we introduce a fast moving object detection method using Kinect v2. Comparing to Kinect v1, the Kinect v2 provides a higher resolution for RGB images and adopts a ToF (Time-of-Flight) sensing mechanism for depth measurement. The upgraded depth sensing method yields depth images with less noises and holes, which allows us to simplify the pre-processing of eliminating noises and filling holes. Also, the depth information of the Kinect v2 is fruitful enough to detect the moving object without resorting to RGB image. These properties of the Kinect v2 lead us to devise a fast moving object detection method.