Model Based Object Contour Detection For Image Sequence

碩士 === 樹德科技大學 === 資訊工程系碩士班 === 103 === This paper presents an object contour detection using the object shape model. First, we detect the change of background luminance ratio outside the bounding box of object. Second, the temporal segmentation is obtained by mesh based motion activity detection. A...

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Main Authors: Yu Yung Lan, 藍昱詠
Other Authors: Yong-Ren Huang
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/14621787028400946053
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spelling ndltd-TW-103STU053920122016-09-25T04:05:00Z http://ndltd.ncl.edu.tw/handle/14621787028400946053 Model Based Object Contour Detection For Image Sequence 影像序列以模板為基礎之物件輪廓偵測 Yu Yung Lan 藍昱詠 碩士 樹德科技大學 資訊工程系碩士班 103 This paper presents an object contour detection using the object shape model. First, we detect the change of background luminance ratio outside the bounding box of object. Second, the temporal segmentation is obtained by mesh based motion activity detection. A new combined mask is composed of temporal segmentation result and shape model by OR operation. Finally, for modification of the mask, we detect the non-matching points with local gradient along the boundary of combined mask in a counting window. And the MSE is calculated for the detection of the matching points. The video object contour will be obtained by the iterative algorithm. Yong-Ren Huang 黃勇仁 2015 學位論文 ; thesis 24 zh-TW
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language zh-TW
format Others
sources NDLTD
description 碩士 === 樹德科技大學 === 資訊工程系碩士班 === 103 === This paper presents an object contour detection using the object shape model. First, we detect the change of background luminance ratio outside the bounding box of object. Second, the temporal segmentation is obtained by mesh based motion activity detection. A new combined mask is composed of temporal segmentation result and shape model by OR operation. Finally, for modification of the mask, we detect the non-matching points with local gradient along the boundary of combined mask in a counting window. And the MSE is calculated for the detection of the matching points. The video object contour will be obtained by the iterative algorithm.
author2 Yong-Ren Huang
author_facet Yong-Ren Huang
Yu Yung Lan
藍昱詠
author Yu Yung Lan
藍昱詠
spellingShingle Yu Yung Lan
藍昱詠
Model Based Object Contour Detection For Image Sequence
author_sort Yu Yung Lan
title Model Based Object Contour Detection For Image Sequence
title_short Model Based Object Contour Detection For Image Sequence
title_full Model Based Object Contour Detection For Image Sequence
title_fullStr Model Based Object Contour Detection For Image Sequence
title_full_unstemmed Model Based Object Contour Detection For Image Sequence
title_sort model based object contour detection for image sequence
publishDate 2015
url http://ndltd.ncl.edu.tw/handle/14621787028400946053
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