Sinopsis
This book describes an automatic background-foreground detection for the purpose of further traffic analysis. The aim of this project was to investigate and implement the background removal algorithm that uses Gaussian Mixture Model to perform robust background subtraction in real time. This kind of a system can recognize the moving objects in the video sequence using only camera. It finds its application in traffic analysis. The implementation has been done firstly on a computer using C++ OpenCV library followed by translating the code for being executable on Android device.
"Sinopsis" puede pertenecer a otra edición de este libro.
Reseña del editor
This book describes an automatic background-foreground detection for the purpose of further traffic analysis. The aim of this project was to investigate and implement the background removal algorithm that uses Gaussian Mixture Model to perform robust background subtraction in real time. This kind of a system can recognize the moving objects in the video sequence using only camera. It finds its application in traffic analysis. The implementation has been done firstly on a computer using C++ OpenCV library followed by translating the code for being executable on Android device.
Biografía del autor
Author holds a BSc degree in Computer Science from the University of Tartu in 2016 and is in pursuit of his MSc degree in the same field also in the University of Tartu. At the same time author works as a Software Engineer in a software development company called Mooncascade, Estonia.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Moving object detection using GMM on mobile devices
Publicado por
LAP LAMBERT Academic Publishing Mai 2017, 2017
ISBN 10: 3330079363
ISBN 13: 9783330079366
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes an automatic background-foreground detection for the purpose of further traffic analysis. The aim of this project was to investigate and implement the background removal algorithm that uses Gaussian Mixture Model to perform robust background subtraction in real time. This kind of a system can recognize the moving objects in the video sequence using only camera. It finds its application in traffic analysis. The implementation has been done firstly on a computer using C++ OpenCV library followed by translating the code for being executable on Android device. 64 pp. Englisch. Nº de ref. del artículo: 9783330079366
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Moving object detection using GMM on mobile devices
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330079363
ISBN 13: 9783330079366
Nuevo
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Librería: Revaluation Books, Exeter, Reino Unido
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Paperback. Condición: Brand New. 64 pages. 8.66x5.91x0.15 inches. In Stock. Nº de ref. del artículo: 3330079363
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Moving object detection using GMM on mobile devices
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330079363
ISBN 13: 9783330079366
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Prokopov AntonAuthor holds a BSc degree in Computer Science from the University of Tartu in 2016 and is in pursuit of his MSc degree in the same field also in the University of Tartu. At the same time author works as a Software Engin. Nº de ref. del artículo: 151236832
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Moving object detection using GMM on mobile devices
Publicado por
LAP LAMBERT Academic Publishing Mai 2017, 2017
ISBN 10: 3330079363
ISBN 13: 9783330079366
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book describes an automatic background-foreground detection for the purpose of further traffic analysis. The aim of this project was to investigate and implement the background removal algorithm that uses Gaussian Mixture Model to perform robust background subtraction in real time. This kind of a system can recognize the moving objects in the video sequence using only camera. It finds its application in traffic analysis. The implementation has been done firstly on a computer using C++ OpenCV library followed by translating the code for being executable on Android device.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. Nº de ref. del artículo: 9783330079366
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Moving object detection using GMM on mobile devices
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330079363
ISBN 13: 9783330079366
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book describes an automatic background-foreground detection for the purpose of further traffic analysis. The aim of this project was to investigate and implement the background removal algorithm that uses Gaussian Mixture Model to perform robust background subtraction in real time. This kind of a system can recognize the moving objects in the video sequence using only camera. It finds its application in traffic analysis. The implementation has been done firstly on a computer using C++ OpenCV library followed by translating the code for being executable on Android device. Nº de ref. del artículo: 9783330079366
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Moving object detection using GMM on mobile devices
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330079363
ISBN 13: 9783330079366
Nuevo
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Librería: preigu, Osnabrück, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Moving object detection using GMM on mobile devices | Anton Prokopov (u. a.) | Taschenbuch | 64 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330079366 | 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: 109197680
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