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1st: Title: An improved method for motion detection by image difference Author: Chen M, Xu X L Source: ICISCE 2012, Proceedings, 2012 IET International Conference on Information Science and Control Engineering, ICISCE 2012, Volume 3 pp.2199-2201 2nd: Title: A new adaptive background updating method for motion detection Author: Chen M, Xu X L Source: ICISCE 2012, Proceedings, 2012 IET International Conference on Information Science and Control Engineering, ICISCE 2012, Volume 3 pp.2289-2292 |
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【答案】应助回帖
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cnnoah(杈杈代发): 金币+3, Thanks 2014-03-20 12:05:46
cnnoah(杈杈代发): 金币+3, Thanks 2014-03-20 12:05:46
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Accession number: 20141017415093 Title: A new adaptive background updating method for motion detection Authors: Chen, M.1 ; Xu, X.L.1 Author affiliation: 1 School of Information Science and Engineering, Fujian university of technology, China Source title: IET Conference Publications Abbreviated source title: IET Conf Publ Volume: 2012 Issue: 636 CP Monograph title: IET International Conference on Information Science and Control Engineering 2012, ICISCE 2012 Issue date: 2012 Publication year: 2012 Article number: 2477 Language: English ISBN-13: 9781849196413 Document type: Conference article (CA) Conference name: IET International Conference on Information Science and Control Engineering 2012, ICISCE 2012 Conference date: December 7, 2012 - December 9, 2012 Conference location: Shenzhen, China Conference code: 102811 Publisher: Institution of Engineering and Technology, Six Hills Way, Stevenage, SG1 2AY, United Kingdom Abstract: This paper makes improvements on motion detection method which uses background updating, specifically: using adaptive threshold. The D value is introduced to the iterative method calculating adaptive threshold value in order to obtain a more suitable one. In our experiment, the D value has some relationship with the region in which the gray scale occur most often. The D value is adjusted with the region. The background model is established by using the statistical average method. The current background is updating to prevent the background model from degradation. The median filter method is adopted to eliminate the noise. The experimental results show that the improved methods have significantly solved the problems of miss detection of slow movement targets and background model degradation. Number of references: 6 Main heading: Models Controlled terms: Information science - Target tracking Uncontrolled terms: Adaptive background updating - Adaptive threshold values - Adaptive thresholds - Background model - Background subtraction - Background updating - Motion detection - Statistical average Classification code: 716.2 Radar Systems and Equipment - 902.1 Engineering Graphics - 903 Information Science DOI: 10.1049/cp.2012.2477 Database: Compendex Compilation and indexing terms, © 2013 Elsevier Inc. |
3楼2014-03-20 10:49:45
【答案】应助回帖
★ ★
cnnoah(杈杈代发): 金币+2, Thanks 2014-03-20 12:05:36
cnnoah(杈杈代发): 金币+2, Thanks 2014-03-20 12:05:36
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Accession number: 20141017415082 Title: An improved method for motion detection by image difference Authors: Chen, M.1 ; Xu, X.L.1 Author affiliation: 1 School of Information Science and Engineering, Fujian university of technology, China Source title: IET Conference Publications Abbreviated source title: IET Conf Publ Volume: 2012 Issue: 636 CP Monograph title: IET International Conference on Information Science and Control Engineering 2012, ICISCE 2012 Issue date: 2012 Publication year: 2012 Article number: 2466 Language: English ISBN-13: 9781849196413 Document type: Conference article (CA) Conference name: IET International Conference on Information Science and Control Engineering 2012, ICISCE 2012 Conference date: December 7, 2012 - December 9, 2012 Conference location: Shenzhen, China Conference code: 102811 Publisher: Institution of Engineering and Technology, Six Hills Way, Stevenage, SG1 2AY, United Kingdom Abstract: This paper makes improvements on motion detection method using image difference, specifically in: using the frame difference and background subtraction methods to detect motion. The cross-correlation method is used to detect slow movement and even the stopped target. Updating the background model to prevented the model from degradation. The experimental results show that the improved methods have significantly solved the problems of miss detection of slow movement and the background model degradation. Our method will lay a theoretical foundation for the behaviour understanding in moving target. Number of references: 12 Main heading: Models Controlled terms: Correlation methods - Information science - Target tracking Uncontrolled terms: Background model - Background subtraction - Background subtraction method - Background updating - Cross correlation methods - Frame differences - Motion detection - Theoretical foundations Classification code: 716.2 Radar Systems and Equipment - 902.1 Engineering Graphics - 903 Information Science - 922.2 Mathematical Statistics DOI: 10.1049/cp.2012.2466 Database: Compendex Compilation and indexing terms, © 2013 Elsevier Inc. |
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