This paper presents a modified background subtraction algorithm through frame prepro-cessing using smoothing with RGB data format to remove noise, unwanted objects( rain and clouds ) and to get more information from the frame then the preprocessed frames are used for background modeling to provide a statistical description of the entire back-ground scene using non-recursive frame differencing technique with 4 frames difference and scaled frame to minimize the modeling time to extract foreground objects using 2 pre-calculated thresholds(strong threshold and weak threshold)not only one threshold to give an accurate decision about moving objects in the video sequence. This modified algorithm decreased the false alarm rate by 25% to 30% and faster pro-cessing time comparing with normal background subtraction algorithm in outdoor motion detection system.
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Marwa Abd El Azeem A. Marzouk Department of Information Technology, Institute of Graduate Studies and ResearchUniversity of Alexandria
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This paper presents a modified background subtraction algorithm through frame prepro-cessing using smoothing with RGB data format to remove noise, unwanted objects( rain and clouds ) and to get more information from the frame then the preprocessed frames are used for background modeling to provide a statistical description of the entire back-ground scene using non-recursive frame differencing technique with 4 frames difference and scaled frame to minimize the modeling time to extract foreground objects using 2 pre-calculated thresholds(strong threshold and weak threshold)not only one threshold to give an accurate decision about moving objects in the video sequence. This modified algorithm decreased the false alarm rate by 25% to 30% and faster pro-cessing time comparing with normal background subtraction algorithm in outdoor motion detection system. 84 pp. Englisch. Nº de ref. del artículo: 9783330798427
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Paperback. Condición: Brand New. 84 pages. 8.66x5.91x0.19 inches. In Stock. Nº de ref. del artículo: 3330798424
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Abd El Azeem A. Marzouk MarwaMarwa Abd El Azeem A. Marzouk Department of Information Technology, Institute of Graduate Studies and ResearchUniversity of AlexandriaThis paper presents a modified background subtraction algorithm th. Nº de ref. del artículo: 151242682
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This paper presents a modified background subtraction algorithm through frame prepro-cessing using smoothing with RGB data format to remove noise, unwanted objects( rain and clouds ) and to get more information from the frame then the preprocessed frames are used for background modeling to provide a statistical description of the entire back-ground scene using non-recursive frame differencing technique with 4 frames difference and scaled frame to minimize the modeling time to extract foreground objects using 2 pre-calculated thresholds(strong threshold and weak threshold)not only one threshold to give an accurate decision about moving objects in the video sequence. This modified algorithm decreased the false alarm rate by 25% to 30% and faster pro-cessing time comparing with normal background subtraction algorithm in outdoor motion detection system.Books on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Englisch. Nº de ref. del artículo: 9783330798427
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This paper presents a modified background subtraction algorithm through frame prepro-cessing using smoothing with RGB data format to remove noise, unwanted objects( rain and clouds ) and to get more information from the frame then the preprocessed frames are used for background modeling to provide a statistical description of the entire back-ground scene using non-recursive frame differencing technique with 4 frames difference and scaled frame to minimize the modeling time to extract foreground objects using 2 pre-calculated thresholds(strong threshold and weak threshold)not only one threshold to give an accurate decision about moving objects in the video sequence. This modified algorithm decreased the false alarm rate by 25% to 30% and faster pro-cessing time comparing with normal background subtraction algorithm in outdoor motion detection system. Nº de ref. del artículo: 9783330798427
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Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Modified Background Subtraction Algorithm for Motion Detection | Marwa Abd El Azeem A. Marzouk | Taschenbuch | 84 S. | Englisch | 2016 | Noor Publishing | EAN 9783330798427 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 108008993
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