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...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2010
|
Online Access: | http://ndltd.ncl.edu.tw/handle/03362867186077437234 |
id |
ndltd-TW-098NCTU5392012 |
---|---|
record_format |
oai_dc |
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 |
work_keys_str_mv |
AT huangshangwen facetrackingonscalablevideo AT huángshàngwén facetrackingonscalablevideo AT huangshangwen kědiàoxìngshìxùnrénliǎnzhuīzōng AT huángshàngwén kědiàoxìngshìxùnrénliǎnzhuīzōng |
_version_ |
1718226168763645952 |