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Publicado por AV Akademikerverlag, 2012
ISBN 10: 3639436121ISBN 13: 9783639436129
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Libro
Condición: New.
Publicado por VDM Verlag, 2008
ISBN 10: 3836460319ISBN 13: 9783836460316
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Libro
Condición: New.
Publicado por VDM Verlag, 2008
ISBN 10: 3836460319ISBN 13: 9783836460316
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
Libro Impresión bajo demanda
PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Publicado por AV Akademikerverlag, 2012
ISBN 10: 3639436121ISBN 13: 9783639436129
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Libro Impresión bajo demanda
Condición: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Publicado por VDM Verlag Dr. Mueller e.K., 2008
ISBN 10: 3836460319ISBN 13: 9783836460316
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Libro Impresión bajo demanda
Condición: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Publicado por VDM Verlag Dr. Mueller e.K. 2008-01, 2008
ISBN 10: 3836460319ISBN 13: 9783836460316
Librería: Chiron Media, Wallingford, Reino Unido
Libro
PF. Condición: New.
Publicado por AV Akademikerverlag 2012-07, 2012
ISBN 10: 3639436121ISBN 13: 9783639436129
Librería: Chiron Media, Wallingford, Reino Unido
Libro
PF. Condición: New.
Publicado por AV Akademikerverlag Jul 2012, 2012
ISBN 10: 3639436121ISBN 13: 9783639436129
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Libro Impresión bajo demanda
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Revision with unchanged content. This thesis proposes a novel approach for the early detection of traffic congestion based on low-level image features. The possibility of predicting the evolution of the traffic situation, just based on low-level information from the underlying scene, is studied. The intention of this approach is to overcome the difficulties of existing systems where the computational cost is quite high and moving shadows and occlusion impose problems since vehicle detection is required. First, a couple of traffic-dependent parameters are computed by analyzing low-level image features and their distribution along the road. The relevance of these parameters for describing the current traffic situation is presented. In a second step, these parameters serve as input to a Relevance Vector Machine. The Relevance Vector Machine is used to learn a model for predicting the traffic-dependent parameters in the future from their past observations. Finally, experiments on two test videos show the applicability of the proposed approach for predicting the future traffic situation. This work addresses all people with an interest in early traffic jam detection based on computer vision. 92 pp. Englisch.
Publicado por AV Akademikerverlag, 2012
ISBN 10: 3639436121ISBN 13: 9783639436129
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
Libro Impresión bajo demanda
PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Publicado por AV Akademikerverlag, 2012
ISBN 10: 3639436121ISBN 13: 9783639436129
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Libro Impresión bajo demanda
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Revision with unchanged content. This thesis proposes a novel approach for the early detection of traffic congestion based on low-level image features. The possibility of predicting the evolution of the traffic situation, just based on low-level information from the underlying scene, is studied. The intention of this approach is to overcome the difficulties of existing systems where the computational cost is quite high and moving shadows and occlusion impose problems since vehicle detection is required. First, a couple of traffic-dependent parameters are computed by analyzing low-level image features and their distribution along the road. The relevance of these parameters for describing the current traffic situation is presented. In a second step, these parameters serve as input to a Relevance Vector Machine. The Relevance Vector Machine is used to learn a model for predicting the traffic-dependent parameters in the future from their past observations. Finally, experiments on two test videos show the applicability of the proposed approach for predicting the future traffic situation. This work addresses all people with an interest in early traffic jam detection based on computer vision.
Publicado por VDM Verlag, 2008
ISBN 10: 3836460319ISBN 13: 9783836460316
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
Libro Impresión bajo demanda
PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Publicado por AV Akademikerverlag, 2012
ISBN 10: 3639436121ISBN 13: 9783639436129
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
Libro Impresión bajo demanda
PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Publicado por AV Akademikerverlag, 2012
ISBN 10: 3639436121ISBN 13: 9783639436129
Librería: moluna, Greven, Alemania
Libro Impresión bajo demanda
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mirth ChristianMSc.: Master s programme Telematics at Graz University of Technology.Revision with unchanged content. This thesis proposes a novel approach for the early detection of traffic congestion based on low-level image fea.
Publicado por AV Akademikerverlag, 2012
ISBN 10: 3639436121ISBN 13: 9783639436129
Librería: Mispah books, Redhill, SURRE, Reino Unido
Libro
Paperback. Condición: Like New. Like New. book.
Publicado por VDM Verlag, 2008
ISBN 10: 3836460319ISBN 13: 9783836460316
Librería: Mispah books, Redhill, SURRE, Reino Unido
Libro
Paperback. Condición: Like New. Like New. book.