Ego-motion estimation using optical flow fields observed from multiple cameras

An Ting Tsao; Yi Ping Hung; Chiou Shann Fuh; Yong-Sheng Chen

doi:10.1109/CVPR.1997.609365

Ego-motion estimation using optical flow fields observed from multiple cameras

An Ting Tsao^*, Yi Ping Hung, Chiou Shann Fuh, Yong-Sheng Chen

^*Corresponding author for this work

Institute of Computer Science and Engineering

Research output: Contribution to journal › Conference article › peer-review

13 Scopus citations

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.

Original language	English
Article number	5637707
Pages (from-to)	457-462
Number of pages	6
Journal	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
DOIs	https://doi.org/10.1109/CVPR.1997.609365
State	Published - 1 Jan 1997
Event	Proceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - San Juan, PR, USA Duration: 17 Jun 1997 → 19 Jun 1997

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10.1109/CVPR.1997.609365

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title = "Ego-motion estimation using optical flow fields observed from multiple cameras",

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.",

author = "Tsao, {An Ting} and Hung, {Yi Ping} and Fuh, {Chiou Shann} and Yong-Sheng Chen",

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AU - Tsao, An Ting

AU - Hung, Yi Ping

AU - Fuh, Chiou Shann

AU - Chen, Yong-Sheng

PY - 1997/1/1

Y1 - 1997/1/1

N2 - 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.

AB - 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.

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M3 - Conference article

AN - SCOPUS:0030681620

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JO - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

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SN - 1063-6919

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Y2 - 17 June 1997 through 19 June 1997

ER -

Ego-motion estimation using optical flow fields observed from multiple cameras

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