Adaptive ACM and ASM based Tracking System

碩士 === 國立臺灣科技大學 === 電機工程系 === 92 === With the rapid progress in information technology, computer is becoming more and more powerful, applications of digital image processing and machine vision are getting popular. An important field in machine vision nowadays is tracking which is a crucial function...

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Main Authors: Lou,Hsin-Ran, 羅欣然
Other Authors: Sheu,Hsin-Teng
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/42655493395696834015
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spelling ndltd-TW-092NTUST4420622015-10-13T13:28:04Z http://ndltd.ncl.edu.tw/handle/42655493395696834015 Adaptive ACM and ASM based Tracking System 可動態調整搜尋範圍與方向的ACM結合ASM之影像追蹤系統 Lou,Hsin-Ran 羅欣然 碩士 國立臺灣科技大學 電機工程系 92 With the rapid progress in information technology, computer is becoming more and more powerful, applications of digital image processing and machine vision are getting popular. An important field in machine vision nowadays is tracking which is a crucial function for navigation on autopilot. Our research develop a tracking system that uses Active Contour Models(ACM) with adaptable search direction and search range combined with Active Shape Models(ASM).We test our method against various objects including people and car etc. under a variety of environments such as low contrast image, complicated surrounding and bumpy road surface on which the observer car moves. Experiments indicate that, with the introduction of adaptive search direction and search range, the tracking is not only converging much faster but also robust from the interferences around the surroundings of the object to be tracked. Sheu,Hsin-Teng 許新添 2004 學位論文 ; thesis 132 zh-TW
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language zh-TW
format Others
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description 碩士 === 國立臺灣科技大學 === 電機工程系 === 92 === With the rapid progress in information technology, computer is becoming more and more powerful, applications of digital image processing and machine vision are getting popular. An important field in machine vision nowadays is tracking which is a crucial function for navigation on autopilot. Our research develop a tracking system that uses Active Contour Models(ACM) with adaptable search direction and search range combined with Active Shape Models(ASM).We test our method against various objects including people and car etc. under a variety of environments such as low contrast image, complicated surrounding and bumpy road surface on which the observer car moves. Experiments indicate that, with the introduction of adaptive search direction and search range, the tracking is not only converging much faster but also robust from the interferences around the surroundings of the object to be tracked.
author2 Sheu,Hsin-Teng
author_facet Sheu,Hsin-Teng
Lou,Hsin-Ran
羅欣然
author Lou,Hsin-Ran
羅欣然
spellingShingle Lou,Hsin-Ran
羅欣然
Adaptive ACM and ASM based Tracking System
author_sort Lou,Hsin-Ran
title Adaptive ACM and ASM based Tracking System
title_short Adaptive ACM and ASM based Tracking System
title_full Adaptive ACM and ASM based Tracking System
title_fullStr Adaptive ACM and ASM based Tracking System
title_full_unstemmed Adaptive ACM and ASM based Tracking System
title_sort adaptive acm and asm based tracking system
publishDate 2004
url http://ndltd.ncl.edu.tw/handle/42655493395696834015
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AT luóxīnrán adaptiveacmandasmbasedtrackingsystem
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AT luóxīnrán kědòngtàidiàozhěngsōuxúnfànwéiyǔfāngxiàngdeacmjiéhéasmzhīyǐngxiàngzhuīzōngxìtǒng
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