DocumentCode
722710
Title
Quality assurance of camera zooming by detecting len-shake
Author
Wen-Chung Chang ; Chi-Cheng Wang
Author_Institution
Dept. of Electr. Eng. (DEE2125), Nat. Taipei Univ. of Technol., Taipei, Taiwan
fYear
2015
fDate
29-31 May 2015
Firstpage
1
Lastpage
5
Abstract
A quality assurance approach to ensure proper camera zooming is proposed to replace existing manual process. Camera len-shake estimation is employed to measure camera quality during zooming. Typically, camera len-shake estimation has been performed by a human-operated procedure that requires repetitive operations in a time-consuming process. In this paper, a fast and efficient automatic estimation approach has been proposed. The seemingly novel approach has been validated by experimenting with an industrial pan-tilt-zoom video camera. The estimated camera len-shake is comparable with the estimate from existing manual operation. The proposed approach not only can ensure quality control of the production line, but also can improve efficiency and reliability of factory automation.
Keywords
object detection; quality assurance; video cameras; video signal processing; automatic estimation approach; camera len-shake estimation; camera zooming quality assurance; factory automation reliability; industrial pan-tilt-zoom video camera; len-shake detection; production line; quality control; Calibration; Cameras; Estimation; Least squares approximations; Lenses; Quality assurance; Trajectory; camera len-shake; least squares; machine vision; real-time vision; zoom tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Robotics and Intelligent Systems (ARIS), 2015 International Conference on
Conference_Location
Taipei
Type
conf
DOI
10.1109/ARIS.2015.7158376
Filename
7158376
Link To Document