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Description du livre Etat : New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. N° de réf. du vendeur ria9783639218893_lsuk
Description du livre Etat : New. N° de réf. du vendeur ABLING22Oct2817100451838
Description du livre PF. Etat : New. N° de réf. du vendeur 6666-IUK-9783639218893
Description du livre Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Computers have evolved a long way from huge vacuum tube-based machines to today s small but immensely powerful devices. They have long been investigated as the foundation for an artificial vision system. The computer vision discipline has seen a rapid development over the years from basic motion detection systems to advanced model-based algorithms. Our work is one such improvement over past algorithms. It is based on the principle of multi-dimensional object signatures. Object signatures are constructed from individual attributes extracted via video processing. The lack of a comprehensive object model limits the application of current algorithms to controlled situations. In real-world conditions, such algorithms perform less efficiently due to inherent assumptions of constancy of attributes. Our approach assumes an environment where the object attributes may vary. The variations in accuracy is handled by using weights for each attribute based on local conditions at a sensor location. The results of our tests establish the validity of our approach as higher match accuracy was obtained with our multi- dimensional approach than with single-attribute based logic. 128 pp. Englisch. N° de réf. du vendeur 9783639218893
Description du livre Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computers have evolved a long way from huge vacuum tube-based machines to today s small but immensely powerful devices. They have long been investigated as the foundation for an artificial vision system. The computer vision discipline has seen a rapid development over the years from basic motion detection systems to advanced model-based algorithms. Our work is one such improvement over past algorithms. It is based on the principle of multi-dimensional object signatures. Object signatures are constructed from individual attributes extracted via video processing. The lack of a comprehensive object model limits the application of current algorithms to controlled situations. In real-world conditions, such algorithms perform less efficiently due to inherent assumptions of constancy of attributes. Our approach assumes an environment where the object attributes may vary. The variations in accuracy is handled by using weights for each attribute based on local conditions at a sensor location. The results of our tests establish the validity of our approach as higher match accuracy was obtained with our multi- dimensional approach than with single-attribute based logic. N° de réf. du vendeur 9783639218893
Description du livre Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Srinivasan SabeshanSabeshan Srinivasan is an alumnus of the University of Maine, having obtained his Master of Science in Spatial Information Science and Engineering in 2005. He is currently employed as a software engineer at ESRI. N° de réf. du vendeur 4968213
Description du livre PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9783639218893
Description du livre PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9783639218893