A Fast Approach for Background Subtraction on Spatial and DCT Domain

碩士 === 元智大學 === 資訊工程學系 === 98 === Because of the hardware limitation of embedded system, we present a background subtraction algorithm that can be provided with high speed, low complexity, less space and no ghost effect. First, we only need to decompress the video to DCT domain, then build the refer...

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Main Authors: Yen-Kuan Lin, 林彥寬
Other Authors: 林啟芳
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/91934130126703601313
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spelling ndltd-TW-098YZU053920582015-10-13T18:20:57Z http://ndltd.ncl.edu.tw/handle/91934130126703601313 A Fast Approach for Background Subtraction on Spatial and DCT Domain 一個在空間與DCT領域下快速分離前背景的方法 Yen-Kuan Lin 林彥寬 碩士 元智大學 資訊工程學系 98 Because of the hardware limitation of embedded system, we present a background subtraction algorithm that can be provided with high speed, low complexity, less space and no ghost effect. First, we only need to decompress the video to DCT domain, then build the reference background with running moving average. With reference background, we use counters to emulate the method of median. Checking every DC value of all DCT blocks. If the difference is bigger than the threshold value, we increase the counter of the block. When the counter of block is bigger than a half of sliding window, we replace the DCT block of reference background with the current DCT block, and then set the counter to zero. Repeat these steps, we can not only have the advantages of running moving average, but also achieve to build reference background without ghost effect. We propose the method for fast background subtraction on embedded system that could apply to intelligent analysis. 林啟芳 2010 學位論文 ; thesis 31 zh-TW
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description 碩士 === 元智大學 === 資訊工程學系 === 98 === Because of the hardware limitation of embedded system, we present a background subtraction algorithm that can be provided with high speed, low complexity, less space and no ghost effect. First, we only need to decompress the video to DCT domain, then build the reference background with running moving average. With reference background, we use counters to emulate the method of median. Checking every DC value of all DCT blocks. If the difference is bigger than the threshold value, we increase the counter of the block. When the counter of block is bigger than a half of sliding window, we replace the DCT block of reference background with the current DCT block, and then set the counter to zero. Repeat these steps, we can not only have the advantages of running moving average, but also achieve to build reference background without ghost effect. We propose the method for fast background subtraction on embedded system that could apply to intelligent analysis.
author2 林啟芳
author_facet 林啟芳
Yen-Kuan Lin
林彥寬
author Yen-Kuan Lin
林彥寬
spellingShingle Yen-Kuan Lin
林彥寬
A Fast Approach for Background Subtraction on Spatial and DCT Domain
author_sort Yen-Kuan Lin
title A Fast Approach for Background Subtraction on Spatial and DCT Domain
title_short A Fast Approach for Background Subtraction on Spatial and DCT Domain
title_full A Fast Approach for Background Subtraction on Spatial and DCT Domain
title_fullStr A Fast Approach for Background Subtraction on Spatial and DCT Domain
title_full_unstemmed A Fast Approach for Background Subtraction on Spatial and DCT Domain
title_sort fast approach for background subtraction on spatial and dct domain
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/91934130126703601313
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