Background Extraction Based on Joint Gaussian Conditional Random Fields

碩士 === 國立臺灣科技大學 === 資訊工程系 === 105 === Background extraction is important for applications in computer vision and augmented reality. Most existing methods are not suitable for video sequences containing complex foreground movement. Therefore, this work introduces a novel extraction method based on jo...

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Bibliographic Details
Main Authors: Chin-Yun - Cheng, 鄭欽允
Other Authors: none
Format: Others
Language:en_US
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/49838479710067266005

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