Title
Efficient second-order minimization combined with fuzzy control-based visual tracking of a moving face.
Abstract
This paper presents a visual feedback control system that is based on an efficient second-order minimization algorithm and can be used to track a moving face. This study aims to control a camera installed at the end of a three-degree-of-freedom robot arm and fix its orientation with respect to a moving face so that the face remains at a constant position in the image. In this work, the efficient second-order minimization algorithm is used to feed back the orientation of the two-dimensional human face. Then, an intelligent fuzzy algorithm is utilized by the tracking system to allow it to both track and become synchronized with the movement of the face. In addition, a Kalman filter is implemented to create an improved performance of the prediction of the position of the face. The applied control scheme is tested in tracking experiments on a moving face performed using a robot system with a camera installed on its end-effecter and the proposed scheme is shown to be an effective approach to the considered problem.
Year
DOI
Venue
2012
10.1177/0959651811430800
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING
Keywords
Field
DocType
Efficient second-order minimization,image-based visual control,visual tracking,fuzzy control
Computer vision,Robotic arm,Computer science,Fuzzy logic,Tracking system,Kalman filter,Minification,Eye tracking,Artificial intelligence,Control system,Fuzzy control system
Journal
Volume
Issue
ISSN
226
I6
0959-6518
Citations 
PageRank 
References 
0
0.34
11
Authors
4
Name
Order
Citations
PageRank
Le Duc Hanh112.41
Chyi-Yeu Lin27114.95
Chi-Ying Lin301.01
Koichi Hashimoto400.34