Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330079363 ISBN 13: 9783330079366
Da: Revaluation Books, Exeter, Regno Unito
EUR 64,89
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 64 pages. 8.66x5.91x0.15 inches. In Stock.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330079363 ISBN 13: 9783330079366
Da: preigu, Osnabrück, Germania
EUR 33,20
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Mai 2017, 2017
ISBN 10: 3330079363 ISBN 13: 9783330079366
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 35,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330079363 ISBN 13: 9783330079366
Da: moluna, Greven, Germania
EUR 31,27
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: 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.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Mai 2017, 2017
ISBN 10: 3330079363 ISBN 13: 9783330079366
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 35,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330079363 ISBN 13: 9783330079366
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 35,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.