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
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;
Conference_Titel :
Advanced Robotics and Intelligent Systems (ARIS), 2015 International Conference on
Conference_Location :
Taipei
DOI :
10.1109/ARIS.2015.7158376