Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330001232 ISBN 13: 9783330001237
Da: Books Puddle, New York, NY, U.S.A.
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330001232 ISBN 13: 9783330001237
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Aggiungi al carrelloPaperback. Condizione: Brand New. 60 pages. 8.66x5.91x0.14 inches. In Stock.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330001232 ISBN 13: 9783330001237
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330001232 ISBN 13: 9783330001237
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Lingua: Inglese
Editore: LAP Lambert Academic Publishing Jan 2017, 2017
ISBN 10: 3330001232 ISBN 13: 9783330001237
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Eye detection and tracking are challenging due to a variety of factors such as eye-blinking, partially closed eyes, and oblique face orientations which tend to significantly limit the efficiency of most eye trackers. In this research, an efficient eye detection and tracking system is presented to overcome these limitations. The proposed system switches between the particle swarm optimization (PSO) based deformable multiple template matching algorithm and the adaptive block-matching search algorithm to improve the efficiency and robustness of the tracking system. For eye detection, PSO-based deformable multiple template matching is employed to estimate the best candidate of the center of the eyes within an image of the video sequence with the highest accuracy. For eye tracking the block-matching algorithm with adaptive search area is utilized to reduce the computational time required to perform the PSO-based algorithm. Experimental results on the standard VidTIMIT database show that the proposed method outperforms competitive algorithms in terms of of accuracy and computational complexity. 60 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330001232 ISBN 13: 9783330001237
Da: moluna, Greven, Germania
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Abdel-Kader RehabDr. Rehab F. Abdel-Kader received the Ph.D. degree in Computer Science and Engineering from Auburn University in 2003. She is currently an Associate Professor at the Electrical Engineering Department, Facul.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jan 2017, 2017
ISBN 10: 3330001232 ISBN 13: 9783330001237
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Eye detection and tracking are challenging due to a variety of factors such as eye-blinking, partially closed eyes, and oblique face orientations which tend to significantly limit the efficiency of most eye trackers. In this research, an efficient eye detection and tracking system is presented to overcome these limitations. The proposed system switches between the particle swarm optimization (PSO) based deformable multiple template matching algorithm and the adaptive block-matching search algorithm to improve the efficiency and robustness of the tracking system. For eye detection, PSO-based deformable multiple template matching is employed to estimate the best candidate of the center of the eyes within an image of the video sequence with the highest accuracy. For eye tracking the block-matching algorithm with adaptive search area is utilized to reduce the computational time required to perform the PSO-based algorithm. Experimental results on the standard VidTIMIT database show that the proposed method outperforms competitive algorithms in terms of of accuracy and computational complexity.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330001232 ISBN 13: 9783330001237
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 37,20
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Eye detection and tracking are challenging due to a variety of factors such as eye-blinking, partially closed eyes, and oblique face orientations which tend to significantly limit the efficiency of most eye trackers. In this research, an efficient eye detection and tracking system is presented to overcome these limitations. The proposed system switches between the particle swarm optimization (PSO) based deformable multiple template matching algorithm and the adaptive block-matching search algorithm to improve the efficiency and robustness of the tracking system. For eye detection, PSO-based deformable multiple template matching is employed to estimate the best candidate of the center of the eyes within an image of the video sequence with the highest accuracy. For eye tracking the block-matching algorithm with adaptive search area is utilized to reduce the computational time required to perform the PSO-based algorithm. Experimental results on the standard VidTIMIT database show that the proposed method outperforms competitive algorithms in terms of of accuracy and computational complexity.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330001232 ISBN 13: 9783330001237
Da: preigu, Osnabrück, Germania
EUR 33,25
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. An Efficient Eye Detection and Tracking System based on Particle Swarm | Rehab Abdel-Kader (u. a.) | Taschenbuch | 60 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330001237 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.