Synthesizing 3D videos by a motion-conditioned background mosaic

In this work we present an approach to generating depth image sequences for standard videos, which satisfy a proposed motion model. We take advantage that the background in a video scene is relatively fix in contrast to moving objects in the foreground. By robust methods the camera motion is eliminated automatically to extract a background mosaic. By means of this mosaic the moving objects are extracted and the depth is assigned by the user. We apply the DIBR approach on the depth information to render 3D videos. The results demonstrate the practicability of our approach and highlight the advantages of the proposed motion model against previous depth tracking methods.