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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Marwa Abd El Azeem A. Marzouk Department of Information Technology, Institute of Graduate Studies and ResearchUniversity of Alexandria
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783330798427
Quantité disponible : 2 disponible(s)
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 84 pages. 8.66x5.91x0.19 inches. In Stock. N° de réf. du vendeur 3330798424
Quantité disponible : 1 disponible(s)
Vendeur : moluna, Greven, Allemagne
Etat : 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. N° de réf. du vendeur 151242682
Quantité disponible : Plus de 20 disponibles
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783330798427
Quantité disponible : 1 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783330798427
Quantité disponible : 1 disponible(s)
Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 108008993
Quantité disponible : 5 disponible(s)