Title :
Ego-motion estimation using optical flow fields observed from multiple cameras
Author :
Tsao, An-Ting ; Hung, Yi-Ping ; Fuh, Chiou-Shann ; Chen, Yong-Sheng
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Abstract :
In this paper, we consider a multi-camera vision system mounted on a moving object in a static three-dimensional environment. By using the motion flow fields seen by all of the cameras, an algorithm which does not need to solve the point-correspondence problem among the cameras is proposed to estimate the 3D ego-motion parameters of the moving object. Our experiments have shown that using multiple optical flow fields obtained from different cameras can be very helpful for ego-motion estimation
Keywords :
computer vision; image sequences; motion estimation; ego-motion estimation; motion flow fields; moving object; multi-camera vision system; multiple cameras; multiple optical flow fields; optical flow fields; point-correspondence problem; static three-dimensional environment; Cameras; Computer science; Image motion analysis; Information science; Machine vision; Motion estimation; Nonlinear optics; Robot vision systems; Vectors; Vehicles;
Conference_Titel :
Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on
Conference_Location :
San Juan
Print_ISBN :
0-8186-7822-4
DOI :
10.1109/CVPR.1997.609365
