Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mosaic based representations of video sequences and their applications
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Kernel-Based Method for Tracking Objects with Rotation and Translation
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
3D Reconstruction of Background and Objects Moving on Ground Plane Viewed from a Moving Camera
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
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In this paper we present a novel method to obtain the ground plane orientation. We assume that multiple objects are moving rigidly on a ground plane observed by a fixed camera. With an automatic tracking of some object features we do a classical “Structure from Motion” (SfM) method. This give us a static object viewed for a hypothetical camera called a “virtual camera”. This camera shares the same intrinsic parameters with the real camera but moves differently due to real object motion. Assuming that the object rotates around the plane normal (equivalent to say over the ground plane), and that the virtual camera will rotate around the same vector, we use the virtual camera positions along the sequence to estimate this rotation axis, the ground plane normal.