NDLI: Analysis of dynamic images in machine vision and its application study in motion control

Content Provider	IEEE Xplore Digital Library
Author	Dong Xia Wang Kedian
Copyright Year	2007
Description	Author affiliation: Xi'an Jiaotong Univ., Xi'an (Dong Xia; Wang Kedian)
Abstract	Recent advances in high performance computing coupled with the decreasing cost of hardware now make machine vision a financially viable inspection option for even small and medium sized firms. Amongst many problems relative to the machine vision applications, the detection and tracking of moving targets is very important in many cases including industrial fields. Our challenge is to develop an effective methodology on analysis of dynamic images able to extract the moving target by using only visual sensing as input and keeping computation time and hardware cost to a minimum, typically with a standard Pentium-based computer and a standard CCD camera. This paper presents a segmentation method combining dynamic segmentation with static segmentation and examines moving object detection based primarily on inter-frame difference method. We applied the methods into the motion control of a familiar work table driving system only based on machine vision. The experimental results demonstrate that in realistic situations, detection of moving targets by using inter-frame difference method is more effective than that by using optical flow method.
Starting Page	112
Ending Page	117
File Size	953205
Page Count	6
File Format	PDF
ISBN	9781424413577
DOI	10.1109/MMVIP.2007.4430727
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Costs Segmentation Moving Target Inspection Image motion analysis Image segmentation Image analysis Machine vision High performance computing Motion Control Hardware Standards development Motion control Dynamic Images
Content Type	Text
Resource Type	Article

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