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Crowd counting is a dominant topic of research in the field of computer surveillance, but if the crowd distribution is unequal the perfection of crowd counting on the basis of the MCNN has yet to be improved to adapt to uneven crowd distributions MCNN has been used to perform aggressive results. The global density feature for crowds in a project is taken into account, and globalised density aspects are drawn and added to the MCNN by the cascaded learning method, because in the course of the down-sampling process certain comprehensive features will be disregarded by the MCNN, and this will affect the precision of the density map. The experimental results for ucfcc50 and the shanghaitech data set indicate that the method proposed is more accurate and more stable
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A NEURAL NETWORK APPROACH FOR COUNTING NUMBER OF IMAGES
Verlag:
LAP LAMBERT Academic Publishing Okt 2022, 2022
ISBN 10: 6204953052
ISBN 13: 9786204953052
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Crowd counting is a dominant topic of research in the field of computer surveillance, but if the crowd distribution is unequal the perfection of crowd counting on the basis of the MCNN has yet to be improved to adapt to uneven crowd distributions MCNN has been used to perform aggressive results. The global density feature for crowds in a project is taken into account, and globalised density aspects are drawn and added to the MCNN by the cascaded learning method, because in the course of the down-sampling process certain comprehensive features will be disregarded by the MCNN, and this will affect the precision of the density map. The experimental results for ucfcc50 and the shanghaitech data set indicate that the method proposed is more accurate and more stable 68 pp. Englisch. Bestandsnummer des Verkäufers 9786204953052
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A NEURAL NETWORK APPROACH FOR COUNTING NUMBER OF IMAGES
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ISBN 10: 6204953052
ISBN 13: 9786204953052
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: M Purushotham ReddyI am a professor in Information Technology, Institute of Aeronautical Engineering, Hyderabad and author for different books. I published 30+ articles in various journals.Crowd counting is a dominant topic of re. Bestandsnummer des Verkäufers 753796224
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A NEURAL NETWORK APPROACH FOR COUNTING NUMBER OF IMAGES : Neural Network
Verlag:
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204953052
ISBN 13: 9786204953052
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Crowd counting is a dominant topic of research in the field of computer surveillance, but if the crowd distribution is unequal the perfection of crowd counting on the basis of the MCNN has yet to be improved to adapt to uneven crowd distributions MCNN has been used to perform aggressive results. The global density feature for crowds in a project is taken into account, and globalised density aspects are drawn and added to the MCNN by the cascaded learning method, because in the course of the down-sampling process certain comprehensive features will be disregarded by the MCNN, and this will affect the precision of the density map. The experimental results for ucfcc50 and the shanghaitech data set indicate that the method proposed is more accurate and more stable. Bestandsnummer des Verkäufers 9786204953052
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A NEURAL NETWORK APPROACH FOR COUNTING NUMBER OF IMAGES
Verlag:
LAP LAMBERT Academic Publishing Okt 2022, 2022
ISBN 10: 6204953052
ISBN 13: 9786204953052
Neu
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Crowd counting is a dominant topic of research in the field of computer surveillance, but if the crowd distribution is unequal the perfection of crowd counting on the basis of the MCNN has yet to be improved to adapt to uneven crowd distributions MCNN has been used to perform aggressive results. The global density feature for crowds in a project is taken into account, and globalised density aspects are drawn and added to the MCNN by the cascaded learning method, because in the course of the down-sampling process certain comprehensive features will be disregarded by the MCNN, and this will affect the precision of the density map. The experimental results for ucfcc50 and the shanghaitech data set indicate that the method proposed is more accurate and more stableVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch. Bestandsnummer des Verkäufers 9786204953052
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A NEURAL NETWORK APPROACH FOR COUNTING NUMBER OF IMAGES | Neural Network
Verlag:
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ISBN 10: 6204953052
ISBN 13: 9786204953052
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Taschenbuch. Zustand: Neu. A NEURAL NETWORK APPROACH FOR COUNTING NUMBER OF IMAGES | Neural Network | Purushotham Reddy M | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204953052 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 125799790
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