抄録
This paper describes a basic system to detect humans around a vehicle through fisheye video cameras. In order to monitor the surrounding environment of a vehicle, a camera with wide field of view is needed, so we first choose a single fisheye camera to take videos. To deal with the video captured by the camera on a static vehicle, background subtraction method is employed first. The background subtraction is the process of separating out foreground objects from the background in a sequence of video frames. In this paper, we compare three different algorithms of background subtraction to preprocess the images and try to find out the proper algorithm to be applied in our human detection system.
