Biomedical Teacher Tracking and Video Recording

碩士 === 國立臺灣大學 === 生醫電子與資訊學研究所 === 105 === In this thesis, we develop a nearly real-time biomedical teacher tracking and video recording system to track a biomedical teacher in the indoor scene by one wide-angle camera and one PTZ (Pan-Tilt-Zoom) camera. Human tracking has many applications such as e...

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Bibliographic Details
Main Authors: Cheng-Shih Wong, 翁丞世
Other Authors: 傅楸善
Format: Others
Language:en_US
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/mms5kg
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spelling ndltd-TW-105NTU051140322019-05-15T23:39:40Z http://ndltd.ncl.edu.tw/handle/mms5kg Biomedical Teacher Tracking and Video Recording 生醫教師追蹤與視訊錄影 Cheng-Shih Wong 翁丞世 碩士 國立臺灣大學 生醫電子與資訊學研究所 105 In this thesis, we develop a nearly real-time biomedical teacher tracking and video recording system to track a biomedical teacher in the indoor scene by one wide-angle camera and one PTZ (Pan-Tilt-Zoom) camera. Human tracking has many applications such as eldercare, security surveillance, and online meeting. In this human tracking system, we employ tracking-by-detection in particle filter framework to track the target. We have to specify which person to track first, and model the location of the target as a state distribution by particle filter. Moreover, we train a convolutional neural network as a head classifier to estimate the probability of human head, the motion detector with background subtraction, and color histogram is used to obtain the similarity between candidate and the target. 傅楸善 2017 學位論文 ; thesis 43 en_US
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description 碩士 === 國立臺灣大學 === 生醫電子與資訊學研究所 === 105 === In this thesis, we develop a nearly real-time biomedical teacher tracking and video recording system to track a biomedical teacher in the indoor scene by one wide-angle camera and one PTZ (Pan-Tilt-Zoom) camera. Human tracking has many applications such as eldercare, security surveillance, and online meeting. In this human tracking system, we employ tracking-by-detection in particle filter framework to track the target. We have to specify which person to track first, and model the location of the target as a state distribution by particle filter. Moreover, we train a convolutional neural network as a head classifier to estimate the probability of human head, the motion detector with background subtraction, and color histogram is used to obtain the similarity between candidate and the target.
author2 傅楸善
author_facet 傅楸善
Cheng-Shih Wong
翁丞世
author Cheng-Shih Wong
翁丞世
spellingShingle Cheng-Shih Wong
翁丞世
Biomedical Teacher Tracking and Video Recording
author_sort Cheng-Shih Wong
title Biomedical Teacher Tracking and Video Recording
title_short Biomedical Teacher Tracking and Video Recording
title_full Biomedical Teacher Tracking and Video Recording
title_fullStr Biomedical Teacher Tracking and Video Recording
title_full_unstemmed Biomedical Teacher Tracking and Video Recording
title_sort biomedical teacher tracking and video recording
publishDate 2017
url http://ndltd.ncl.edu.tw/handle/mms5kg
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