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ISBN 10: 3844386238 ISBN 13: 9783844386233
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844386238 ISBN 13: 9783844386233
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Añadir al carritoTaschenbuch. Condición: 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.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844386238 ISBN 13: 9783844386233
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Publicado por LAP LAMBERT Academic Publishing Jul 2011, 2011
ISBN 10: 3844386238 ISBN 13: 9783844386233
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: 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.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Jul 2011, 2011
ISBN 10: 3844386238 ISBN 13: 9783844386233
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoTaschenbuch. Condición: 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.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844386238 ISBN 13: 9783844386233
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: 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.