Arbitrary view image generation for indoor surveillance using a camera based on 3D simple shape approximation

Various methods for generating arbitrary view images from input images of cameras have been proposed. These conventional methods use multiple cameras. In this paper, we propose a method to generate arbitrary view images using a single camera in known room. Especially, we perform basic experiments to apply our method to surveillance. We use one pan tilt camera. Unknown objects in known room are replaced by simple shapes such as rectangular parallelepiped, triangle pole, circular cylinder, etc. Then, by using camera parameters and 3 dimensional (3D) spatial information of the room, the 3D position and model of unknown objects are estimated, and arbitrary view images are generated. Since we use a single camera, we can easily set it in secluded spot. In experimental results, we show the effectiveness of the proposed method.