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Simultaneous People Tracking and Recognition with a   Service Robot - Bellotto, Nicola
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Bellotto, Nicola:

Simultaneous People Tracking and Recognition with a Service Robot - Taschenbuch

2009, ISBN: 3639176391, Lieferbar binnen 4-6 Wochen Versandkosten:Versandkostenfrei innerhalb der BRD

ID: 9783639176391

Internationaler Buchtitel. In englischer Sprache. Verlag: VDM Verlag, Paperback, 144 Seiten, L=223mm, B=154mm, H=15mm, Gew.=235gr, [GR: 16390 - HC/Informatik/EDV/Sonstiges], Kartoniert/Broschiert, Klappentext: The research proposed in this book investigates new methods for service robots to detect people using sensor data fusion, and to estimate their position and identity simultaneously. An efficient multisensor solution for human detection is presented, where a mobile robot uses its on-board camera and laser to search for faces and legs in the environment. A new tracking algorithm based on the Unscented Kalman Filter is developed to integrate sensor measurements and estimate the human position. More specifically, after a data association stage that assigns faces and legs to their respective human targets, observations are fused sequentially to track multiple people while these and the robot are either moving or not. Finally, clothes and face recognition algorithms are integrated in a new probabilistic framework for simultaneous tracking and identification of humans. The solution is based on a bank of Bayesian filters that combines laser and visual information to generate a multiple hypothesis estimate of the person being tracked. The proposed system is also applied to a receptionist robot for university open days. The research proposed in this book investigates new methods for service robots to detect people using sensor data fusion, and to estimate their position and identity simultaneously. An efficient multisensor solution for human detection is presented, where a mobile robot uses its on-board camera and laser to search for faces and legs in the environment. A new tracking algorithm based on the Unscented Kalman Filter is developed to integrate sensor measurements and estimate the human position. More specifically, after a data association stage that assigns faces and legs to their respective human targets, observations are fused sequentially to track multiple people while these and the robot are either moving or not. Finally, clothes and face recognition algorithms are integrated in a new probabilistic framework for simultaneous tracking and identification of humans. The solution is based on a bank of Bayesian filters that combines laser and visual information to generate a multiple hypothesis estimate of the person being tracked. The proposed system is also applied to a receptionist robot for university open days.

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Simultaneous People Tracking and Recognition with a Service Robot - Nicola Bellotto
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Nicola Bellotto:

Simultaneous People Tracking and Recognition with a Service Robot - Taschenbuch

2009, ISBN: 3639176391

ID: 9852880433

[EAN: 9783639176391], Neubuch, [PU: Vdm Verlag Nov 2009], This item is printed on demand - Print on Demand Titel. - The research proposed in this book investigates new methods for service robots to detect people using sensor data fusion, and to estimate their position and identity simultaneously. An efficient multisensor solution for human detection is presented, where a mobile robot uses its on-board camera and laser to search for faces and legs in the environment. A new tracking algorithm based on the Unscented Kalman Filter is developed to integrate sensor measurements and estimate the human position. More specifically, after a data association stage that assigns faces and legs to their respective human targets, observations are fused sequentially to track multiple people while these and the robot are either moving or not. Finally, clothes and face recognition algorithms are integrated in a new probabilistic framework for simultaneous tracking and identification of humans. The solution is based on a bank of Bayesian filters that combines laser and visual information to generate a multiple hypothesis estimate of the person being tracked. The proposed system is also applied to a receptionist robot for university open days. 144 pp. Englisch

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Simultaneous People Tracking and Recognition with a Service Robot - Nicola Bellotto
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Nicola Bellotto:
Simultaneous People Tracking and Recognition with a Service Robot - Taschenbuch

2009

ISBN: 3639176391

ID: 9852880433

[EAN: 9783639176391], Neubuch, [PU: Vdm Verlag Nov 2009], This item is printed on demand - Print on Demand Titel. - The research proposed in this book investigates new methods for service robots to detect people using sensor data fusion, and to estimate their position and identity simultaneously. An efficient multisensor solution for human detection is presented, where a mobile robot uses its on-board camera and laser to search for faces and legs in the environment. A new tracking algorithm based on the Unscented Kalman Filter is developed to integrate sensor measurements and estimate the human position. More specifically, after a data association stage that assigns faces and legs to their respective human targets, observations are fused sequentially to track multiple people while these and the robot are either moving or not. Finally, clothes and face recognition algorithms are integrated in a new probabilistic framework for simultaneous tracking and identification of humans. The solution is based on a bank of Bayesian filters that combines laser and visual information to generate a multiple hypothesis estimate of the person being tracked. The proposed system is also applied to a receptionist robot for university open days. 144 pp. Englisch

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ISBN: 9783639176391

ID: d67520c5001b1c9f2fac4ced00e6c625

The research proposed in this book investigates new methods for service robots to detect people using sensor data fusion, and to estimate their position and identity simultaneously. An efficient multisensor solution for human detection is presented, where a mobile robot uses its on-board camera and laser to search for faces and legs in the environment. A new tracking algorithm based on the Unscented Kalman Filter is developed to integrate sensor measurements and estimate the human position. More specifically, after a data association stage that assigns faces and legs to their respective human targets, observations are fused sequentially to track multiple people while these and the robot are either moving or not. Finally, clothes and face recognition algorithms are integrated in a new probabilistic framework for simultaneous tracking and identification of humans. The solution is based on a bank of Bayesian filters that combines laser and visual information to generate a multiple hypothesis estimate of the person being tracked. The proposed system is also applied to a receptionist robot for university open days. Buch / Broschur, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Simultaneous People Tracking and Recognition with a      Service Robot - Bellotto, Nicola
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Bellotto, Nicola:
Simultaneous People Tracking and Recognition with a Service Robot - Taschenbuch

2009, ISBN: 3639176391

Gebundene Ausgabe, ID: 5434120

A novel approach using sensor fusion and Bayesian estimation - Buch, gebundene Ausgabe, 144 S., Beilagen: Paperback, Erschienen: 2009 VDM Verlag, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Details zum Buch
Simultaneous People Tracking and Recognition with a   Service Robot
Autor:

Bellotto, Nicola

Titel:

Simultaneous People Tracking and Recognition with a Service Robot

ISBN-Nummer:

3639176391

The research proposed in this book investigates new methods for service robots to detect people using sensor data fusion, and to estimate their position and identity simultaneously. An efficient multisensor solution for human detection is presented, where a mobile robot uses its on-board camera and laser to search for faces and legs in the environment. A new tracking algorithm based on the Unscented Kalman Filter is developed to integrate sensor measurements and estimate the human position. More specifically, after a data association stage that assigns faces and legs to their respective human targets, observations are fused sequentially to track multiple people while these and the robot are either moving or not. Finally, clothes and face recognition algorithms are integrated in a new probabilistic framework for simultaneous tracking and identification of humans. The solution is based on a bank of Bayesian filters that combines laser and visual information to generate a multiple hypothesis estimate of the person being tracked. The proposed system is also applied to a receptionist robot for university open days.

Detailangaben zum Buch - Simultaneous People Tracking and Recognition with a Service Robot


EAN (ISBN-13): 9783639176391
ISBN (ISBN-10): 3639176391
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2009
Herausgeber: VDM Verlag
144 Seiten
Gewicht: 0,235 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 18.07.2009 15:04:55
Buch zuletzt gefunden am 04.11.2015 03:41:37
ISBN/EAN: 3639176391

ISBN - alternative Schreibweisen:
3-639-17639-1, 978-3-639-17639-1

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