JOURNAL ARTICLE

A Visual Tracking Method for a Moving Object Using Stereo Vision Robot

Nobuaki KobayashiMasaaki Shibata

Year: 2007 Journal:   IEEJ Transactions on Industry Applications Vol: 127 (6)Pages: 643-650   Publisher: Institute of Electrical Engineers of Japan

Abstract

In this paper, we propose a visual tracking method for a moving object without tracking delay. On visual servoing, image-based method with image Jacobian is often taken for target-centering camera motion control because it does not require target's 3D position estimation and is robust to modeling errors and noises. In an ordinary visual servoing approach, it is assumed that the target object would be fixed in the workspace. Therefore, for the purpose of tracking to a moving target, the image errors always exist between the target position and camera optical axis, that is, the visual tracking delay. In our proposed method, the target object's 3D position is estimated with the technique based on triangulation on stereo vision system. Then, the moving velocity is calculated in the camera coordinate frame. The image Jacobian concerns the camera velocity with the target velocity in the image plane. Additionally, the target velocity in 3D workspace is also converted into the velocity in the image plane. The converted velocity compensates the camera velocity to compensate the camera motion delay. This approach enables to achieve non-delayed tracking for moving target.

Keywords:
Computer vision Artificial intelligence Visual servoing Image plane Tracking (education) Workspace Computer science Position (finance) Stereo camera Tracking system Video tracking Triangulation Jacobian matrix and determinant Object (grammar) Kalman filter Robot Mathematics Image (mathematics)

Metrics

8
Cited By
1.20
FWCI (Field Weighted Citation Impact)
10
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Processing Techniques and Applications
Physical Sciences →  Engineering →  Media Technology
Image and Video Stabilization
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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