Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844386238 ISBN 13: 9783844386233
Da: moluna, Greven, Germania
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844386238 ISBN 13: 9783844386233
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Video object Tracking | Image Processing and Tracking | Madhurima Bhatia | Taschenbuch | 76 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844386233 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844386238 ISBN 13: 9783844386233
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Aggiungi al carrelloPaperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jul 2011, 2011
ISBN 10: 3844386238 ISBN 13: 9783844386233
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 -Object-tracking is one of the most popular areas of video processing because of its applicability to daily problems and ease of production, e.g. surveillance cameras, adaptive traffic lights, plane detection, vehicle navigation, human computer interaction, object-based video compression, smart rooms, driver assistance, perceptual user interface, augmented reality etc. The purpose of object tracking is to determine the position of the object in images continuously and reliably against dynamic scenes. Difficulties in tracking objects can arise due to abrupt object motion, changing appearance patterns of the object and the scene, non-rigid object structures, object-to object and object-to-scene occlusions, and camera motion.The work carried out implements object tracking using mean shift based algorithm and feature based algorithm for an efficient and robust visual tracking. 76 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jul 2011, 2011
ISBN 10: 3844386238 ISBN 13: 9783844386233
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 -Object-tracking is one of the most popular areas of video processing because of its applicability to daily problems and ease of production, e.g. surveillance cameras, adaptive traffic lights, plane detection, vehicle navigation, human computer interaction, object-based video compression, smart rooms, driver assistance, perceptual user interface, augmented reality etc. The purpose of object tracking is to determine the position of the object in images continuously and reliably against dynamic scenes. Difficulties in tracking objects can arise due to abrupt object motion, changing appearance patterns of the object and the scene, non-rigid object structures, object-to object and object-to-scene occlusions, and camera motion.The work carried out implements object tracking using mean shift based algorithm and feature based algorithm for an efficient and robust visual tracking.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844386238 ISBN 13: 9783844386233
Da: AHA-BUCH GmbH, Einbeck, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Object-tracking is one of the most popular areas of video processing because of its applicability to daily problems and ease of production, e.g. surveillance cameras, adaptive traffic lights, plane detection, vehicle navigation, human computer interaction, object-based video compression, smart rooms, driver assistance, perceptual user interface, augmented reality etc. The purpose of object tracking is to determine the position of the object in images continuously and reliably against dynamic scenes. Difficulties in tracking objects can arise due to abrupt object motion, changing appearance patterns of the object and the scene, non-rigid object structures, object-to object and object-to-scene occlusions, and camera motion.The work carried out implements object tracking using mean shift based algorithm and feature based algorithm for an efficient and robust visual tracking.