Visual Tracking for a Moving Object Using Optical Flow Technique

碩士 === 國立中山大學 === 機械與機電工程學系研究所 === 91 === When an object makes a motion of continuous variation, its projection on a plane brings a succession of image and the motion between the video camera and the object causes displacement of image pixels. The relative motion of the displacement is called optica...

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Main Authors: Ya-Hsin Ching, 景雅新
Other Authors: Chi-Cheng Cheng
Format: Others
Language:zh-TW
Published: 2003
Online Access:http://ndltd.ncl.edu.tw/handle/79450205024602160858
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spelling ndltd-TW-091NSYS54900122016-06-22T04:20:47Z http://ndltd.ncl.edu.tw/handle/79450205024602160858 Visual Tracking for a Moving Object Using Optical Flow Technique 光流技術在移動物體影像追尋上之應用 Ya-Hsin Ching 景雅新 碩士 國立中山大學 機械與機電工程學系研究所 91 When an object makes a motion of continuous variation, its projection on a plane brings a succession of image and the motion between the video camera and the object causes displacement of image pixels. The relative motion of the displacement is called optical flow. The advantage of using the optical flow approach is that it is not required to know characteristics of the object and the environment at that time. So this method is suitable for tracking problems in unknown environment. It has been indicated that the optical flow based on the whole image cannot always be correct enough for control purpose where motion or feature occur. This thesis first uses digital image technique to subtract two continuous images, and extract the region where the motion actually occurs. Then, optical flow is calculated based on image information in this area. In this way, it cannot only raise the tracking speed, but also reduce the effect of the incorrect optical flow value. As a result, both tracking accuracy and speed can be greatly improved. Chi-Cheng Cheng 程啟正 2003 學位論文 ; thesis 114 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立中山大學 === 機械與機電工程學系研究所 === 91 === When an object makes a motion of continuous variation, its projection on a plane brings a succession of image and the motion between the video camera and the object causes displacement of image pixels. The relative motion of the displacement is called optical flow. The advantage of using the optical flow approach is that it is not required to know characteristics of the object and the environment at that time. So this method is suitable for tracking problems in unknown environment. It has been indicated that the optical flow based on the whole image cannot always be correct enough for control purpose where motion or feature occur. This thesis first uses digital image technique to subtract two continuous images, and extract the region where the motion actually occurs. Then, optical flow is calculated based on image information in this area. In this way, it cannot only raise the tracking speed, but also reduce the effect of the incorrect optical flow value. As a result, both tracking accuracy and speed can be greatly improved.
author2 Chi-Cheng Cheng
author_facet Chi-Cheng Cheng
Ya-Hsin Ching
景雅新
author Ya-Hsin Ching
景雅新
spellingShingle Ya-Hsin Ching
景雅新
Visual Tracking for a Moving Object Using Optical Flow Technique
author_sort Ya-Hsin Ching
title Visual Tracking for a Moving Object Using Optical Flow Technique
title_short Visual Tracking for a Moving Object Using Optical Flow Technique
title_full Visual Tracking for a Moving Object Using Optical Flow Technique
title_fullStr Visual Tracking for a Moving Object Using Optical Flow Technique
title_full_unstemmed Visual Tracking for a Moving Object Using Optical Flow Technique
title_sort visual tracking for a moving object using optical flow technique
publishDate 2003
url http://ndltd.ncl.edu.tw/handle/79450205024602160858
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