Title :
Tracking rigid motion using a compact-structure constraint
Author :
Yacoob, Yaser ; Davis, Larry
Author_Institution :
Comput. Vision Lab., Maryland Univ., College Park, MD, USA
Abstract :
An approach for tracking the motion of a rigid object using parameterized flow models and a compact-structure constraint is proposed. While polynomial parameterized flow models have been shown to be effective in tracking the rigid motion of planar objects, these models are inappropriate for tracking moving objects that change appearance revealing their 3D structure. We extend these models by adding a structure-compactness constraint that accounts for image motion that deviates from a planar structure. The constraint is based on the assumption that object structure variations are limited with respect to planar object projection onto the image plane and therefore can be expressed as a direct constraint on the image motion. The performance of the algorithm is demonstrated on several long image sequences of rigidly moving objects
Keywords :
image sequences; motion estimation; polynomials; tracking; compact-structure constraint; image motion; image sequences; parameterized flow models; polynomial parameterized flow models; rigid motion tracking; rigid object; rigidly moving objects; structure-compactness constraint; Brightness; Computer vision; Image sequences; Laboratories; Layout; Motion estimation; Optical imaging; Prototypes; Semiconductor device modeling; Tracking;
Conference_Titel :
Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on
Conference_Location :
Kerkyra
Print_ISBN :
0-7695-0164-8
DOI :
10.1109/ICCV.1999.791218