Titlebook: Background Subtraction; Theory and Practice Ahmed Elgammal Book 2015 Springer Nature Switzerland AG 2015

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書目名稱Background Subtraction影響因子(影響力)




書目名稱Background Subtraction影響因子(影響力)學(xué)科排名




書目名稱Background Subtraction網(wǎng)絡(luò)公開度




書目名稱Background Subtraction網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Background Subtraction被引頻次




書目名稱Background Subtraction被引頻次學(xué)科排名




書目名稱Background Subtraction年度引用




書目名稱Background Subtraction年度引用學(xué)科排名




書目名稱Background Subtraction讀者反饋




書目名稱Background Subtraction讀者反饋學(xué)科排名

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Background Subtraction978-3-031-01813-8Series ISSN 2153-1056 Series E-ISSN 2153-1064

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Luiz Márcio Spinosa,Eduardo M. Costaers, etc. Traditional backgroundsubtraction algorithms are not applicable for such videos captured from a non-stationary platforms. Despite that there are applicable solutions for detecting objects in videos, as explained in Section 1.3, these solutions are far from being effective. The goal of the

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978-3-031-00685-2Springer Nature Switzerland AG 2015

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2153-1056 evelopment in designing algorithms for background subtraction, as well as wide use of these algorithms in various important applications, such as visual surveillance, sports video analysis, motion capture, etc. Various statistical approaches have been proposed to model scene backgrounds. The concept

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