Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330079363 ISBN 13: 9783330079366
Librería: Revaluation Books, Exeter, Reino Unido
EUR 65,12
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Brand New. 64 pages. 8.66x5.91x0.15 inches. In Stock.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330079363 ISBN 13: 9783330079366
Librería: preigu, Osnabrück, Alemania
EUR 33,20
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. 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.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Mai 2017, 2017
ISBN 10: 3330079363 ISBN 13: 9783330079366
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 35,90
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. 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.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330079363 ISBN 13: 9783330079366
Librería: moluna, Greven, Alemania
EUR 31,27
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Mai 2017, 2017
ISBN 10: 3330079363 ISBN 13: 9783330079366
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 35,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. 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.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330079363 ISBN 13: 9783330079366
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 35,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. 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.