Moving object detection in non-planar scenes based on improved gradient suppression

The parallax caused by the 3D structure of the non-planar scenes has a bad influence on the mo-ving object detection from moving imaging platforms such as missiles and unmanned flying vehicles. In order to detect the moving objects in non-planar scenes rapidly and effectively, a novel algorithm combining gradient suppression with epipolar constraint is proposed. Firstly, the gradient suppression algorithm (GSA) is adopted to filter the parallax occurring on the edge of the background. Secondly, as the GSA cannot remove the parallax completely in the case of large angle camera rotation, the epipolar constraint is applied to the remaining pixels to separate the parallax from them. Finally, in order to obtain the boundary of the moving objects, the detected pixels of the moving objects are classified by the projection method of binary images. The experiment results show that the proposed algorithm has a good effect on the moving object detection in non-planar scenes, where the moving objects are all detected and their boundary are identified completely.