JOURNAL ARTICLE

Image-based visual tracking to fast moving target for active binocular robot

Abstract

The paper reports the control way of visual tracking to a fast moving target with using an active binocular robot. The robot consists of a pair of active cameras and performs as a stereo vision system. The motions of those cameras are controlled independently and achieve rigid visual tracking respectively. The difficulty of visual tracking to a fast target is to suppress the tracking delay, affected by the high-speed of the target and the rapid changes of its motions. Although we have established an explicit theory for non-delayed visual tracking in our previous works, it is fact that the good tuning of the control parameters should realize its own high performance. In this paper, we have examined the effective tunings of three types of the control parameters; the feedback gains for motion control and for visual servoing and the image capturing frequency. In several conditions, the higher performance on the visual tracking to a fast moving target has been achieved. The validity of the proposed method is confirmed in the many physical experimental results.

Keywords:
Computer vision Visual servoing Artificial intelligence Tracking (education) Computer science Visual control Active vision Robot Eye tracking Binocular vision Tracking system Motion (physics) Kalman filter

Metrics

5
Cited By
0.00
FWCI (Field Weighted Citation Impact)
13
Refs
0.17
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Teleoperation and Haptic Systems
Physical Sciences →  Engineering →  Mechanical Engineering
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Video Stabilization
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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