Face Tracking on Scalable Video

碩士 === 國立交通大學 === 資訊學院碩士在職專班資訊組 === 98 === How is it measure people face to detect in static image, how be a lot of problem that people study since detect the position that measures the faces of people for a long time in the image and come to track in the dynamic film the faces of people are rese...

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Main Authors: Huang, Shang-Wen, 黃尚文
Other Authors: Fu, Hsin-Chia
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/03362867186077437234
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spelling ndltd-TW-098NCTU53920122016-04-18T04:21:31Z http://ndltd.ncl.edu.tw/handle/03362867186077437234 Face Tracking on Scalable Video 可調性視訊人臉追蹤 Huang, Shang-Wen 黃尚文 碩士 國立交通大學 資訊學院碩士在職專班資訊組 98 How is it measure people face to detect in static image, how be a lot of problem that people study since detect the position that measures the faces of people for a long time in the image and come to track in the dynamic film the faces of people are research lesson of nearly one step even more question. To distinguish for main fact pieces of image, few utilize 3D three-dimensional image carry on people research that face track. But on the research that tracks in the faces of people, present most documents are still only the test on static database, also unable to is it make instant application of to bring effectively, most heavy difficulty different network frequently wide among them.The paper is based on scalable video coding algorithm to do face tracking on scalable video, first part we introduce the algorithm of scalable video, second part is for face tracking method. We hope to reduce the data amount of processing face tracking, we use motion vector (MV) to make it. Fu, Hsin-Chia 傅心家 2010 學位論文 ; thesis 25 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立交通大學 === 資訊學院碩士在職專班資訊組 === 98 === How is it measure people face to detect in static image, how be a lot of problem that people study since detect the position that measures the faces of people for a long time in the image and come to track in the dynamic film the faces of people are research lesson of nearly one step even more question. To distinguish for main fact pieces of image, few utilize 3D three-dimensional image carry on people research that face track. But on the research that tracks in the faces of people, present most documents are still only the test on static database, also unable to is it make instant application of to bring effectively, most heavy difficulty different network frequently wide among them.The paper is based on scalable video coding algorithm to do face tracking on scalable video, first part we introduce the algorithm of scalable video, second part is for face tracking method. We hope to reduce the data amount of processing face tracking, we use motion vector (MV) to make it.
author2 Fu, Hsin-Chia
author_facet Fu, Hsin-Chia
Huang, Shang-Wen
黃尚文
author Huang, Shang-Wen
黃尚文
spellingShingle Huang, Shang-Wen
黃尚文
Face Tracking on Scalable Video
author_sort Huang, Shang-Wen
title Face Tracking on Scalable Video
title_short Face Tracking on Scalable Video
title_full Face Tracking on Scalable Video
title_fullStr Face Tracking on Scalable Video
title_full_unstemmed Face Tracking on Scalable Video
title_sort face tracking on scalable video
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/03362867186077437234
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AT huángshàngwén kědiàoxìngshìxùnrénliǎnzhuīzōng
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