Synopsis
Motion detection is done for videos with various methodologies. Especially in surveillance video applications lot of techniques are implied in the past for the detection of motion with the color mapping of the object. There lies a problem for these sorts of applications in such a way that, it will map the moving object as a single entity. But in sensitive applications like satellite imaging systems, cancer cell or medical imaging systems, the sub objects movement is also taken into account for efficient decision making. So a new methodology is developed in this project for the multiple objects and sub objects movement in sensitive video applications. A methodology was developed for static images by Fellenszwalb et al for multiple object detection. This methodology is implied for dynamic video and tested for medical imaging and satellite imaging videos obtained from various sources of the internet. The system is developed asa real time solution for the developed problem statement.
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Iterated Training Algorithm for Surveillance Video Applications
Edité par
LAP LAMBERT Academic Publishing Dez 2011, 2011
ISBN 10 : 3847313924
ISBN 13 : 9783847313922
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Motion detection is done for videos with various methodologies. Especially in surveillance video applications lot of techniques are implied in the past for the detection of motion with the color mapping of the object. There lies a problem for these sorts of applications in such a way that, it will map the moving object as a single entity. But in sensitive applications like satellite imaging systems, cancer cell or medical imaging systems, the sub objects movement is also taken into account for efficient decision making. So a new methodology is developed in this project for the multiple objects and sub objects movement in sensitive video applications. A methodology was developed for static images by Fellenszwalb et al for multiple object detection. This methodology is implied for dynamic video and tested for medical imaging and satellite imaging videos obtained from various sources of the internet. The system is developed asa real time solution for the developed problem statement. 84 pp. Englisch. N° de réf. du vendeur 9783847313922
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Iterated Training Algorithm for Surveillance Video Applications
Edité par
LAP LAMBERT Academic Publishing, 2011
ISBN 10 : 3847313924
ISBN 13 : 9783847313922
Neuf
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: John Joseph Ferdin JoeFerdin Joe J is currently a faculty with Department of Computer Science and Engineering, Prathyusha Institute of Technology and Management, Affiliated to Anna University, Chennai. He has published 2 papers in In. N° de réf. du vendeur 5509405
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Iterated Training Algorithm for Surveillance Video Applications
Edité par
LAP LAMBERT Academic Publishing Dez 2011, 2011
ISBN 10 : 3847313924
ISBN 13 : 9783847313922
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware -Motion detection is done for videos with various methodologies. Especially in surveillance video applications lot of techniques are implied in the past for the detection of motion with the color mapping of the object. There lies a problem for these sorts of applications in such a way that, it will map the moving object as a single entity. But in sensitive applications like satellite imaging systems, cancer cell or medical imaging systems, the sub objects movement is also taken into account for efficient decision making. So a new methodology is developed in this project for the multiple objects and sub objects movement in sensitive video applications. A methodology was developed for static images by Fellenszwalb et al for multiple object detection. This methodology is implied for dynamic video and tested for medical imaging and satellite imaging videos obtained from various sources of the internet. The system is developed asa real time solution for the developed problem statement.Books on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Englisch. N° de réf. du vendeur 9783847313922
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Iterated Training Algorithm for Surveillance Video Applications : ITA Enabled
Edité par
LAP LAMBERT Academic Publishing, 2011
ISBN 10 : 3847313924
ISBN 13 : 9783847313922
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Motion detection is done for videos with various methodologies. Especially in surveillance video applications lot of techniques are implied in the past for the detection of motion with the color mapping of the object. There lies a problem for these sorts of applications in such a way that, it will map the moving object as a single entity. But in sensitive applications like satellite imaging systems, cancer cell or medical imaging systems, the sub objects movement is also taken into account for efficient decision making. So a new methodology is developed in this project for the multiple objects and sub objects movement in sensitive video applications. A methodology was developed for static images by Fellenszwalb et al for multiple object detection. This methodology is implied for dynamic video and tested for medical imaging and satellite imaging videos obtained from various sources of the internet. The system is developed asa real time solution for the developed problem statement. N° de réf. du vendeur 9783847313922
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Iterated Training Algorithm for Surveillance Video Applications : ITA Enabled
Edité par
LAP LAMBERT Academic Publishing, 2011
ISBN 10 : 3847313924
ISBN 13 : 9783847313922
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Vendeur : Buchpark, Trebbin, Allemagne
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Etat : Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Motion detection is done for videos with various methodologies. Especially in surveillance video applications lot of techniques are implied in the past for the detection of motion with the color mapping of the object. There lies a problem for these sorts of applications in such a way that, it will map the moving object as a single entity. But in sensitive applications like satellite imaging systems, cancer cell or medical imaging systems, the sub objects movement is also taken into account for efficient decision making. So a new methodology is developed in this project for the multiple objects and sub objects movement in sensitive video applications. A methodology was developed for static images by Fellenszwalb et al for multiple object detection. This methodology is implied for dynamic video and tested for medical imaging and satellite imaging videos obtained from various sources of the internet. The system is developed asa real time solution for the developed problem statement. N° de réf. du vendeur 11720858/1
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