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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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 |
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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.
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Chi-Cheng Cheng |
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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 |
work_keys_str_mv |
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