Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848437422 ISBN 13: 9783848437429
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 113,66
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848437422 ISBN 13: 9783848437429
Librería: moluna, Greven, Alemania
EUR 41,67
Cantidad disponible: Más de 20 disponibles
Añadir al carritoKartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Basavaiah ManjunathManjunath Basavaiah received his U.G. degree B.E. inElectronics and Communication Engineering fromGlobal Academy of Technology, Bangalore & P.G.degree M.Sc [Engg] in Real Time Embedded Systemsfrom Coventry Universi.
Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2012
ISBN 10: 3848437422 ISBN 13: 9783848437429
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 49,59
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Moving object detection in digital image sequence involves identification of the presence of an object in consecutive frames where as object tracking is used to monitor the movements with respect to the region of interest. In this project, the motion estimation is obtained using Optical Flow. Optical Flow is the distribution of apparent velocities of movement of brightness patterns in an image. Lucas-Kanade algorithm with Sobel, Horn and Guassian smoothing techniques is used in this work for computation of Optical Flow vectors. Single and multiple object movements with respect to the computed vectors are segmented using thresholding. The extracted movements are tracked using edge and centroid information. Suitable image enhancement techniques are applied to the segmented results to avoid the unwanted information present in the image. Real and virtual image data with static and dynamic environment are used as test sequences to validate the developed algorithms. The tracking performance, in terms of their accuracy and computation time, of the different algorithms with and without image pyramid is analysed and compared in MATLAB & C on Intel Core2 Duo processor on Linux environment.