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Simultaneous People Tracking and Recognition with a Service Robot - A novel approach using sensor fusion and Bayesian estimation - Bellotto, Nicola
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Bellotto, Nicola:
Simultaneous People Tracking and Recognition with a Service Robot - A novel approach using sensor fusion and Bayesian estimation - Taschenbuch

2009, ISBN: 9783639176391

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 144, [GW: 200g], Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, De internationale scheepvaart

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Simultaneous People Tracking and Recognition with a Service Robot - A novel approach using sensor fusion and Bayesian estimation - Bellotto, Nicola
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Bellotto, Nicola:
Simultaneous People Tracking and Recognition with a Service Robot - A novel approach using sensor fusion and Bayesian estimation - Taschenbuch

2009, ISBN: 9783639176391

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 144, [GW: 200g], Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, Internationaler Versand

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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

ISBN: 9783639176391

[ED: Taschenbuch], [PU: VDM Verlag], Neuware - 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 223x154x15 mm, 144, [GW: 235g], PayPal, offene Rechnung, Banküberweisung, Internationaler Versand

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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: 3f34b561d335c4471b90d28f54b082fa

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. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Informatik & EDV, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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

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 05.12.2017 11:01:33
ISBN/EAN: 9783639176391

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


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