The book is basically aimed at postgraduates, academics, researchers and practicing engineers in the broader fields of Electrical/ Electronics Mechanical Engineering.. A geometrical visual servoing approach using real time tracking based on statistical modeling is presented. A new algorithm based on statistical modeling for real time tracking of moving objects under different conditions has been proposed and implemented. A proper feature vector is used to classify the foreground from the background using maxima-posteriori probability (MAP) estimate. The article also develops a robust background subtraction algorithm in a number of steps to be used in real time tracking. A novel and rigorous sliding-adaptive control algorithm was presented and implemented for the robotic arm manipulator. This algorithm was finally used with the real time tracking algorithm. Finally experimental results are presented. The results include offline and online teal-time moving object tracking.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book is basically aimed at postgraduates, academics, researchers and practicing engineers in the broader fields of Electrical/ Electronics Mechanical Engineering. A geometrical visual servoing approach using real time tracking based on statistical modeling is presented. A new algorithm based on statistical modeling for real time tracking of moving objects under different conditions has been proposed and implemented. A proper feature vector is used to classify the foreground from the background using maxima-posteriori probability (MAP) estimate. The article also develops a robust background subtraction algorithm in a number of steps to be used in real time tracking. A novel and rigorous sliding-adaptive control algorithm was presented and implemented for the robotic arm manipulator. This algorithm was finally used with the real time tracking algorithm. Finally experimental results are presented. The results include offline and online teal-time moving object tracking. 168 pp. Englisch. N° de réf. du vendeur 9783843352734
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Farooq MuhammadDr. Muhammad Farooq, PhD: Control Theory & Control Engineering at Nanjing University of Aeronautics & Astronautics, Nanjing, PR China.Autor/Autorin: Dao Bo WangDr. Muhammad Farooq, PhD: Control Theory & . N° de réf. du vendeur 5465283
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. A geometrical visual servoing approach based on statistical modeling | A geometrical visual servoing approach using real time tracking based on statistical modeling | Muhammad Farooq (u. a.) | Taschenbuch | 168 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783843352734 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 107295447
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book is basically aimed at postgraduates, academics, researchers and practicing engineers in the broader fields of Electrical/ Electronics Mechanical Engineering. A geometrical visual servoing approach using real time tracking based on statistical modeling is presented. A new algorithm based on statistical modeling for real time tracking of moving objects under different conditions has been proposed and implemented. A proper feature vector is used to classify the foreground from the background using maxima-posteriori probability (MAP) estimate. The article also develops a robust background subtraction algorithm in a number of steps to be used in real time tracking. A novel and rigorous sliding-adaptive control algorithm was presented and implemented for the robotic arm manipulator. This algorithm was finally used with the real time tracking algorithm. Finally experimental results are presented. The results include offline and online teal-time moving object tracking.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Englisch. N° de réf. du vendeur 9783843352734
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book is basically aimed at postgraduates, academics, researchers and practicing engineers in the broader fields of Electrical/ Electronics Mechanical Engineering. A geometrical visual servoing approach using real time tracking based on statistical modeling is presented. A new algorithm based on statistical modeling for real time tracking of moving objects under different conditions has been proposed and implemented. A proper feature vector is used to classify the foreground from the background using maxima-posteriori probability (MAP) estimate. The article also develops a robust background subtraction algorithm in a number of steps to be used in real time tracking. A novel and rigorous sliding-adaptive control algorithm was presented and implemented for the robotic arm manipulator. This algorithm was finally used with the real time tracking algorithm. Finally experimental results are presented. The results include offline and online teal-time moving object tracking. N° de réf. du vendeur 9783843352734
Quantité disponible : 1 disponible(s)