Title :
Estimation of general rigid body motion from a long sequence of images
Author :
Iu, Siu-Leong ; Wohn, Kwangyoen
Author_Institution :
Sch. of Eng. & Appl. Sci., Pennsylvania Univ., Philadelphia, PA, USA
Abstract :
The authors propose a new state formulation to analyze object motion with arbitrary orders of translation and rotation from a sequence of video images. An extended Kalman filter is used to find the estimates sequentially from noisy images. Simulations showed that the proposed formulation was quite effective for estimating nonconstant rigid body motion
Keywords :
Kalman filters; pattern recognition; picture processing; state estimation; video signals; Kalman filter; pattern recognition; picture processing; rigid body estimation; state estimation; video images; Cameras; Filters; Kinematics; Laboratories; Motion analysis; Motion estimation; Noise measurement; Performance evaluation; Polynomials; State estimation;
Conference_Titel :
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location :
Atlantic City, NJ
Print_ISBN :
0-8186-2062-5
DOI :
10.1109/ICPR.1990.118096
