Real-Time Motion Detection and Automatic Motion Tracking System

碩士 === 國立臺灣科技大學 === 電機工程系 === 92 === The computer vision related research already carried on had in more than 30 years. Motion detection and motion tracking was always one of computer vision related research important projects, and related technology also in abundance was proposed, and has obtained...

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Main Authors: Chien, Lung-Chih, 簡隆至
Other Authors: Tsai, Chau-Ren
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/27256664155220012685
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spelling ndltd-TW-092NTUST4420572015-10-13T13:28:04Z http://ndltd.ncl.edu.tw/handle/27256664155220012685 Real-Time Motion Detection and Automatic Motion Tracking System 即時移動物體偵測及自動追蹤系統 Chien, Lung-Chih 簡隆至 碩士 國立臺灣科技大學 電機工程系 92 The computer vision related research already carried on had in more than 30 years. Motion detection and motion tracking was always one of computer vision related research important projects, and related technology also in abundance was proposed, and has obtained the suitable degree the result. However the robust motion object detection and motion tracking still is an extremely difficult task. In the present paper, we will use Moving Edge Detection and Mean Shift algorithm to build motion detection and motion automatic tracking system based on the computer vision. In present paper, after we pick up from digital camera to the run-on time images, we then can detect the motion object sub-area the position by Moving Edge Detection, then uses this motion object sub-area the position to establish model image of the motion object. After model image of the motion object establishment, we then can use the Mean Shift algorithm to track the model image of the motion object, and penetrates the RS-232 in series communication to control the active digital camera to carry on the rotation, causes the motion object sub-area to be allowed continually to maintain at the picture central position, then achieves motion object tracking the task. Tsai, Chau-Ren 蔡超人 2004 學位論文 ; thesis 106 zh-TW
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language zh-TW
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sources NDLTD
description 碩士 === 國立臺灣科技大學 === 電機工程系 === 92 === The computer vision related research already carried on had in more than 30 years. Motion detection and motion tracking was always one of computer vision related research important projects, and related technology also in abundance was proposed, and has obtained the suitable degree the result. However the robust motion object detection and motion tracking still is an extremely difficult task. In the present paper, we will use Moving Edge Detection and Mean Shift algorithm to build motion detection and motion automatic tracking system based on the computer vision. In present paper, after we pick up from digital camera to the run-on time images, we then can detect the motion object sub-area the position by Moving Edge Detection, then uses this motion object sub-area the position to establish model image of the motion object. After model image of the motion object establishment, we then can use the Mean Shift algorithm to track the model image of the motion object, and penetrates the RS-232 in series communication to control the active digital camera to carry on the rotation, causes the motion object sub-area to be allowed continually to maintain at the picture central position, then achieves motion object tracking the task.
author2 Tsai, Chau-Ren
author_facet Tsai, Chau-Ren
Chien, Lung-Chih
簡隆至
author Chien, Lung-Chih
簡隆至
spellingShingle Chien, Lung-Chih
簡隆至
Real-Time Motion Detection and Automatic Motion Tracking System
author_sort Chien, Lung-Chih
title Real-Time Motion Detection and Automatic Motion Tracking System
title_short Real-Time Motion Detection and Automatic Motion Tracking System
title_full Real-Time Motion Detection and Automatic Motion Tracking System
title_fullStr Real-Time Motion Detection and Automatic Motion Tracking System
title_full_unstemmed Real-Time Motion Detection and Automatic Motion Tracking System
title_sort real-time motion detection and automatic motion tracking system
publishDate 2004
url http://ndltd.ncl.edu.tw/handle/27256664155220012685
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