Reconstruction of a Scene with Multiple Linearly Moving Objects

We describe an algorithmfor reconstructing a scene containing multiple moving objects. Given a monocular image sequence, we recover the scene structure, the trajectories of the moving objects and the camera motion simultaneously. The number of the moving objects is automatically detected without prior motion segmentation. Assuming that the objects are moving linearly with constant speeds, we propose a unified geometrical representation of the static scene and the moving objects. This representation enables the embedding of the motion constraints into the scene structure, which leads to a factorization-basedalgorithm. Experimental results on synthetic and real images are presented.

• Type: Conference
• Year: 2000
• Where: CVPR
• Authors: Mei Han, Takeo Kanade
• Keywords: Computer Vision, CVPR 2000, Multiple Moving Objects, Prior Motion Segmentation, Scene Structure, Static Scene, Unified Geometrical Representation