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Computer Vision in Control Systems-2 Innovations in Practice /

The research book is focused on the recent advances in computer vision methodologies and innovations in practice. The Contributions include: ·          Human Action Recognition: Contour-Based and Silhouette-based Approaches. ·         The Application of Machine Learning Techniques to Real Time Audie...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Favorskaya, Margarita N. (Editor ), Jain, Lakhmi C. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Intelligent Systems Reference Library, 75
Temas:
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Computer Vision in Control Systems-2  |h [electronic resource] :  |b Innovations in Practice /  |c edited by Margarita N. Favorskaya, Lakhmi C. Jain. 
250 |a 1st ed. 2015. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2015. 
300 |a XVI, 295 p. 139 illus., 72 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Intelligent Systems Reference Library,  |x 1868-4408 ;  |v 75 
505 0 |a Computer Vision in Advanced Control Systems: Innovations in Practice -- Human Action Recognition: Contour-Based and Silhouette-based Approaches -- The Application of Machine Learning Techniques to Real Time Audience Analysis Sy -- Panorama Construction from Multi-view Cameras in Outdoor Scenes -- A New Real-Time Method of Contextual Image Description and Its Application in Robot Navigation and Intelligent Control -- Perception of Audio Visual Information for Mobile Robot Motion Control Systems -- Adaptive Surveillance Algorithms Based on the Situation Analysis -- Enhanced, Synthetic and Combined Vision Technologies -- Navigation of Autonomous Underwater Vehicles Using Acoustic and Visual Data Processing -- Efficient Denoising Algorithms for Intelligent Recognition Systems -- Image Segmentation Based on Two-dimensional Markov Chains. 
520 |a The research book is focused on the recent advances in computer vision methodologies and innovations in practice. The Contributions include: ·          Human Action Recognition: Contour-Based and Silhouette-based Approaches. ·         The Application of Machine Learning Techniques to Real Time Audience Analysis System. ·         Panorama Construction from Multi-view Cameras in Outdoor Scenes. ·         A New Real-Time Method of Contextual Image Description and Its Application in Robot Navigation and Intelligent Control. ·         Perception of Audio Visual Information for Mobile Robot Motion Control Systems. ·         Adaptive Surveillance Algorithms Based on the Situation Analysis. ·         Enhanced, Synthetic and Combined Vision Technologies for Civil Aviation. ·         Navigation of Autonomous Underwater Vehicles Using Acoustic and Visual Data Processing. ·         Efficient Denoising Algorithms for Intelligent Recognition Systems. ·         Image Segmentation Based on Two-dimensional Markov Chains. The book is directed to the PhD students, professors, researchers and software developers working in the areas of digital video processing and computer vision technologies. 
650 0 |a Computational intelligence. 
650 0 |a Artificial intelligence. 
650 0 |a Control engineering. 
650 1 4 |a Computational Intelligence. 
650 2 4 |a Artificial Intelligence. 
650 2 4 |a Control and Systems Theory. 
700 1 |a Favorskaya, Margarita N.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Jain, Lakhmi C.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783319114316 
776 0 8 |i Printed edition:  |z 9783319114293 
776 0 8 |i Printed edition:  |z 9783319365275 
830 0 |a Intelligent Systems Reference Library,  |x 1868-4408 ;  |v 75 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-319-11430-9  |z Texto Completo 
912 |a ZDB-2-ENG 
912 |a ZDB-2-SXE 
950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712)