Title :
An integrated motion analysis system guided by feedback information
Author :
Kim, Yong C. ; Price, Keith
Author_Institution :
Dept. of Comput. Sci. & Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
The issues of using errorful data in motion estimation and of using feedback to improve feature extraction and matching in incremental analysis are addressed. Initial noisy correspondence data are continously refined by removing those parts that do not fit the estimated 3-D motion parameters. The extraction of a tracked region is guided by its expected properties obtained from the corresponding objects in the previous frames. The surfaces of objects are reconstructed from a sparse depth map
Keywords :
feature extraction; feedback; motion estimation; tracking; 3-D motion parameters; feature extraction; feedback information; motion analysis system; motion estimation; noisy correspondence data; sparse depth map; tracking; Data mining; Feature extraction; Feedback; Image reconstruction; Image sequences; Intelligent robots; Motion analysis; Motion estimation; Parameter estimation; Surface fitting; Surface reconstruction;
Conference_Titel :
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-8186-3880-X
DOI :
10.1109/CVPR.1993.341153
