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The Imaging Science Journal Volume 64, 2016 - Issue 2
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Original Articles

Dynamic foreground detection based on improved Codebook model

H. ZhouCollege of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing211106, PR China
,
G. SuInstitute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing100084, PR China
&
X. JiangCollege of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing211106, PR ChinaCorrespondence[email protected]
Pages 109-117 | Received 15 Jun 2015, Accepted 19 Jan 2016, Published online: 08 Mar 2016

Citations (4)

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Read on this site (1)

E. H. Zhang, Y. C. Li & J. H. Duan. (2016) Moving object detection based on confidence factor and CSLBP features. The Imaging Science Journal 64:5, pages 253-261.
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Articles from other publishers (3)

Melam Nagaraju, B. Sobhan Babu, Meduri V. N. S. S. R. K. Sai Somayajulu, K. Subrahmanya Kousik Sarma & Advaitha Vetagiri. (2021) An accurate foreground moving object detection based on segmentation techniques and optimal classifier. Concurrency and Computation: Practice and Experience 34:5.
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Brahim Farou, Med Nadjib Kouahla, Hamid Seridi & Herman Akdag. (2017) Efficient local monitoring approach for the task of background subtraction. Engineering Applications of Artificial Intelligence 64, pages 1-12.
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I. VUJOVIC & I. KUZMANIC. (2017) Wavelet Energy and the Usefulness of its Powers in Motion Detection. Advances in Electrical and Computer Engineering 17:2, pages 61-70.
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