Object Tracking Using Hybrid Mean Shift & Particle Filter Algorithms: An indepth discussion on computer vision object tracking algorithms - Brossura
Sinossi
Object tracking is an ongoing research area in computer vision. Applications of visual tracking algorithms are countless and growing. Object tracking is required and has been attempted in many domains, including surveillance, sports analysis, gesture recognition, medical applications such as microscopic sample analysis, to study traffic and pedestrian flow dynamics for efficient designs of roads and pathways, growth patterns in plants and animal cells, tracking and targeting applications and studying group behaviour in moving animals and humans This book discusses visual tracking algorithms and their application in the real world. One of the main challenges of tracking using particle filter-based algorithms is to manage the particle spread. Too wide a spread leads to dispersal of particles onto clutter, but limited spread may lead to difficulty when fast-moving objects and/or high-speed camera motion throw trackers away from their target(s). This book addresses the particle spread management problem. Extensive literature review along with three novel hybrid tracking algorithms are presented.
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L'autore
Dr. Asad Naeem received his MS from Northeastern Illinois University Chicago, USA and his PhD from University of Nottingham, UK. His main interests are image and vision based applications and solutions in the fields of medical imaging, surveillance, object tracking and machine learning.
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Object Tracking Using Hybrid Mean Shift & Particle Filter Algorithms
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659256471
ISBN 13: 9783659256479
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Naeem AsadDr. Asad Naeem received his MS from Northeastern Illinois University Chicago, USA and his PhD from University of Nottingham, UK. His main interests are image and vision based applications and solutions in the fields of medi. Codice articolo 5143536
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Object Tracking Using Hybrid Mean Shift & Particle Filter Algorithms | An indepth discussion on computer vision object tracking algorithms
Editore:
LAP Lambert Academic Publishing, 2012
ISBN 10: 3659256471
ISBN 13: 9783659256479
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Da: preigu, Osnabrück, Germania
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Taschenbuch. Condizione: Neu. Object Tracking Using Hybrid Mean Shift & Particle Filter Algorithms | An indepth discussion on computer vision object tracking algorithms | Asad Naeem (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659256479 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 106238751
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Object Tracking Using Hybrid Mean Shift & Particle Filter Algorithms : An indepth discussion on computer vision object tracking algorithms
Editore:
LAP Lambert Academic Publishing, 2012
ISBN 10: 3659256471
ISBN 13: 9783659256479
Nuovo
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Object tracking is an ongoing research area in computer vision. Applications of visual tracking algorithms are countless and growing. Object tracking is required and has been attempted in many domains, including surveillance, sports analysis, gesture recognition, medical applications such as microscopic sample analysis, to study traffic and pedestrian flow dynamics for efficient designs of roads and pathways, growth patterns in plants and animal cells, tracking and targeting applications and studying group behaviour in moving animals and humans This book discusses visual tracking algorithms and their application in the real world. One of the main challenges of tracking using particle filter-based algorithms is to manage the particle spread. Too wide a spread leads to dispersal of particles onto clutter, but limited spread may lead to difficulty when fast-moving objects and/or high-speed camera motion throw trackers away from their target(s). This book addresses the particle spread management problem. Extensive literature review along with three novel hybrid tracking algorithms are presented. Codice articolo 9783659256479
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Object Tracking Using Hybrid Mean Shift & Particle Filter Algorithms: An indepth discussion on computer vision object tracking algorithms
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659256471
ISBN 13: 9783659256479
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Da: Revaluation Books, Exeter, Regno Unito
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Paperback. Condizione: Brand New. 192 pages. 8.66x5.83x0.55 inches. In Stock. Codice articolo 3659256471
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