A Study of Region-based Tracking Using Color Region Matching and Distribution-map Overlap Processing
碩士 === 中原大學 === 資訊工程研究所 === 101 === With the development of multimedia technology, video tracking applications are also emerging in people’s lives. Video tracking is often subject to the interfering factors, e.g., camera shake, object rotation, object deformation and occlusion, etc., leading to tr...
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ndltd-TW-101CYCU53920272015-10-13T22:40:29Z http://ndltd.ncl.edu.tw/handle/41573604682657333575 A Study of Region-based Tracking Using Color Region Matching and Distribution-map Overlap Processing 運用色彩區域匹配及分佈圖重疊處理於區域為基礎之追蹤研究 Yung-I Tsai 蔡勇儀 碩士 中原大學 資訊工程研究所 101 With the development of multimedia technology, video tracking applications are also emerging in people’s lives. Video tracking is often subject to the interfering factors, e.g., camera shake, object rotation, object deformation and occlusion, etc., leading to tracking failure. Therefore, this paper proposes a region-based tracking algorithm that uses the color region segmentation and matching, overlap processing of region distribution map, and set update (e.g., union, intersection, etc.) of regions, thereby improving the video tracking accuracy. In order to verify the effectiveness of our method, a video database with various video behaviors was established. The results demonstrated that our method could achieve the average tracking accuracy rate of more than 85%. The proposed method could be integrated with “feature-based video tracking” or “part-based recognition” to achieve more accurate tracking, and could be further applied for early childhood education. Yuan-Hsian Chang 張元翔 2013 學位論文 ; thesis 60 zh-TW |
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碩士 === 中原大學 === 資訊工程研究所 === 101 === With the development of multimedia technology, video tracking applications are also emerging in people’s lives. Video tracking is often subject to the interfering factors, e.g., camera shake, object rotation, object deformation and occlusion, etc., leading to tracking failure. Therefore, this paper proposes a region-based tracking algorithm that uses the color region segmentation and matching, overlap processing of region distribution map, and set update (e.g., union, intersection, etc.) of regions, thereby improving the video tracking accuracy. In order to verify the effectiveness of our method, a video database with various video behaviors was established. The results demonstrated that our method could achieve the average tracking accuracy rate of more than 85%. The proposed method could be integrated with “feature-based video tracking” or “part-based recognition” to achieve more accurate tracking, and could be further applied for early childhood education.
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Yuan-Hsian Chang |
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Yuan-Hsian Chang Yung-I Tsai 蔡勇儀 |
author |
Yung-I Tsai 蔡勇儀 |
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Yung-I Tsai 蔡勇儀 A Study of Region-based Tracking Using Color Region Matching and Distribution-map Overlap Processing |
author_sort |
Yung-I Tsai |
title |
A Study of Region-based Tracking Using Color Region Matching and Distribution-map Overlap Processing |
title_short |
A Study of Region-based Tracking Using Color Region Matching and Distribution-map Overlap Processing |
title_full |
A Study of Region-based Tracking Using Color Region Matching and Distribution-map Overlap Processing |
title_fullStr |
A Study of Region-based Tracking Using Color Region Matching and Distribution-map Overlap Processing |
title_full_unstemmed |
A Study of Region-based Tracking Using Color Region Matching and Distribution-map Overlap Processing |
title_sort |
study of region-based tracking using color region matching and distribution-map overlap processing |
publishDate |
2013 |
url |
http://ndltd.ncl.edu.tw/handle/41573604682657333575 |
work_keys_str_mv |
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