Translator Disclaimer
8 March 2002 Computation of the real-time camera motion through a correlation and a dynamic model of system
Author Affiliations +
Abstract
Camera ego-motion is computed utilizing optical flows which are obtained from sparsely located feature points, where the corresponding points are determined through the information fusion of the correlation and the system model-based prediction. Since the ego-motion of the camera is obtained utilizing optical flows, the accuracy of recognized motion depends highly on the correctness of optical flows. Therefore, the ego-motion utilizing feature-based optical flows are more reliable than those of other points due to the distinctive characteristic of feature points. The technical bottleneck of this category of solution is the matching of corresponding points. In this paper, the correlation and prediction is fused to determine trustable matching pairs. For better prediction, system dynamic model is employed. The effect of the proposed algorithm has been shown through the motion estimation of the camera installed on a dynamic system.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
JinWook Han, Jae-Choon Chon, and Jong-Jun You "Computation of the real-time camera motion through a correlation and a dynamic model of system", Proc. SPIE 4664, Machine Vision Applications in Industrial Inspection X, (8 March 2002); https://doi.org/10.1117/12.460202
PROCEEDINGS
7 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Optical flow based velocity estimation for mobile robots
Proceedings of SPIE (February 13 2015)
Robust automatic camera pointing for airborne surveillance
Proceedings of SPIE (August 13 2002)
A traffic situation analysis system
Proceedings of SPIE (January 24 2011)
Advanced tracking control of positioning tables
Proceedings of SPIE (August 27 1995)

Back to Top