Publicado por LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3847323210 ISBN 13: 9783847323211
Idioma: Inglés
Librería: Buchpark, Trebbin, Alemania
EUR 35,65
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Añadir al carritoCondición: Hervorragend. Zustand: Hervorragend | Seiten: 108 | Sprache: Englisch | Produktart: Bücher.
Publicado por LAP LAMBERT Academic Publishing Dez 2011, 2011
ISBN 10: 3847323210 ISBN 13: 9783847323211
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 49,00
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -This book focuses on the identification, analysis and implementation of moving object detection and tracking algorithm using spatio-temporal frequency information of the image sequences on an embedded DSP platform. Real and virtual image datäs with static and dynamic environment are taken as test sequences and the movements with respect to these sequences has been analyzed, compared and optimized with respect to phase based and energy based algorithm using MATLAB. Based on quantitative analysis, energy based method was found to be better than phase based approach. Multiple objects detection and tracking system with energy based approach has been implemented using C and further optimized to suit for an Embedded DSP processor. It has been found that the computational time on Linux platform is better in comparison with MATLAB and embedded DSP processor. As a future work, it would be better to go for a high end embedded DSP processor to enhance the computation time.Books on Demand GmbH, Überseering 33, 22297 Hamburg 108 pp. Englisch.
Publicado por LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3847323210 ISBN 13: 9783847323211
Idioma: Inglés
Librería: dsmbooks, Liverpool, Reino Unido
EUR 105,24
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Añadir al carritoPaperback. Condición: Like New. Like New. book.
Publicado por LAP LAMBERT Academic Publishing Dez 2011, 2011
ISBN 10: 3847323210 ISBN 13: 9783847323211
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 49,00
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on the identification, analysis and implementation of moving object detection and tracking algorithm using spatio-temporal frequency information of the image sequences on an embedded DSP platform. Real and virtual image data s with static and dynamic environment are taken as test sequences and the movements with respect to these sequences has been analyzed, compared and optimized with respect to phase based and energy based algorithm using MATLAB. Based on quantitative analysis, energy based method was found to be better than phase based approach. Multiple objects detection and tracking system with energy based approach has been implemented using C and further optimized to suit for an Embedded DSP processor. It has been found that the computational time on Linux platform is better in comparison with MATLAB and embedded DSP processor. As a future work, it would be better to go for a high end embedded DSP processor to enhance the computation time. 108 pp. Englisch.
Publicado por LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3847323210 ISBN 13: 9783847323211
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 41,05
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: K. S. NaveenNaveen K S received his U.G. degree B.E. in E&C from MVJCE,Bangalore in 2008 and P.G. degree M.Sc in Signal Processing and Computer Technology from MSRSAS, Bangalore in 2011. He joined the Dept. of R&D at System Controls,.
Publicado por LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3847323210 ISBN 13: 9783847323211
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 49,00
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book focuses on the identification, analysis and implementation of moving object detection and tracking algorithm using spatio-temporal frequency information of the image sequences on an embedded DSP platform. Real and virtual image data s with static and dynamic environment are taken as test sequences and the movements with respect to these sequences has been analyzed, compared and optimized with respect to phase based and energy based algorithm using MATLAB. Based on quantitative analysis, energy based method was found to be better than phase based approach. Multiple objects detection and tracking system with energy based approach has been implemented using C and further optimized to suit for an Embedded DSP processor. It has been found that the computational time on Linux platform is better in comparison with MATLAB and embedded DSP processor. As a future work, it would be better to go for a high end embedded DSP processor to enhance the computation time.