Feature and Classifier Development - 8 Angebote vergleichen
Bester Preis: € 30,55 (vom 23.10.2019)1
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Feature and Classifier Development (Paperback) (2014)
DE PB NW RP
ISBN: 9783659637162 bzw. 3659637165, in Deutsch, LAP Lambert Academic Publishing, United States, Taschenbuch, neu, Nachdruck.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, The Book Depository EURO [60485773], Gloucester, UK, United Kingdom.
Language: English Brand New Book ***** Print on Demand *****.Computer vision has been gaining increasing popularity in this age of automation and advancing technology. In particular, human detection has been looked into quite thoroughly in the recent years. Human detection is important in areas of surveillance, pedestrian detection, human-computer interaction etc where humans need to be detected very accurately. With accurate detection, postprocessing of human actions can then be done effectively. For accurate detection, it is necessary that the features and classification framework adopted are robust and effective. This book proposes several features that make use of gradient and/or texture information present in images and videos for representation and a non-linear classification framework for human detection. Existing features and classification frameworks of human detection are analyzed thoroughly and from their limitations, new features and a classification framework are derived. This development should help to advance human detection performance and should be especially useful to professionals in the Artificial Intelligence field or anyone developing a system for human detection.
Von Händler/Antiquariat, The Book Depository EURO [60485773], Gloucester, UK, United Kingdom.
Language: English Brand New Book ***** Print on Demand *****.Computer vision has been gaining increasing popularity in this age of automation and advancing technology. In particular, human detection has been looked into quite thoroughly in the recent years. Human detection is important in areas of surveillance, pedestrian detection, human-computer interaction etc where humans need to be detected very accurately. With accurate detection, postprocessing of human actions can then be done effectively. For accurate detection, it is necessary that the features and classification framework adopted are robust and effective. This book proposes several features that make use of gradient and/or texture information present in images and videos for representation and a non-linear classification framework for human detection. Existing features and classification frameworks of human detection are analyzed thoroughly and from their limitations, new features and a classification framework are derived. This development should help to advance human detection performance and should be especially useful to professionals in the Artificial Intelligence field or anyone developing a system for human detection.
2
Feature and Classifier Development
DE NW
ISBN: 9783659637162 bzw. 3659637165, in Deutsch, neu.
Lieferung aus: Deutschland, zzgl. Versandkosten.
Computer vision has been gaining increasing popularity in this age of automation and advancing technology. In particular, human detection has been looked into quite thoroughly in the recent years. Human detection is important in areas of surveillance, pedestrian detection, human-computer interaction etc where humans need to be detected very accurately. With accurate detection, postprocessing of human actions can then be done effectively. For accurate detection, it is necessary that the features and classification framework adopted are robust and effective. This book proposes several features that make use of gradient and/or texture information present in images and videos for representation and a non-linear classification framework for human detection. Existing features and classification frameworks of human detection are analyzed thoroughly and from their limitations, new features and a classification framework are derived. This development should help to advance human detection performance and should be especially useful to professionals in the Artificial Intelligence field or anyone developing a system for human detection.
Computer vision has been gaining increasing popularity in this age of automation and advancing technology. In particular, human detection has been looked into quite thoroughly in the recent years. Human detection is important in areas of surveillance, pedestrian detection, human-computer interaction etc where humans need to be detected very accurately. With accurate detection, postprocessing of human actions can then be done effectively. For accurate detection, it is necessary that the features and classification framework adopted are robust and effective. This book proposes several features that make use of gradient and/or texture information present in images and videos for representation and a non-linear classification framework for human detection. Existing features and classification frameworks of human detection are analyzed thoroughly and from their limitations, new features and a classification framework are derived. This development should help to advance human detection performance and should be especially useful to professionals in the Artificial Intelligence field or anyone developing a system for human detection.
3
Feature and Classifier Development
~EN NW AB
ISBN: 9783659637162 bzw. 3659637165, vermutlich in Englisch, neu, Hörbuch.
Lieferung aus: Österreich, Lieferzeit: 5 Tage, zzgl. Versandkosten.
Computer vision has been gaining increasing popularity in this age of automation and advancing technology. In particular, human detection has been looked into quite thoroughly in the recent years. Human detection is important in areas of surveillance, pedestrian detection, human-computer interaction etc where humans need to be detected very accurately. With accurate detection, postprocessing of human actions can then be done effectively. For accurate detection, it is necessary that the features and classification framework adopted are robust and effective. This book proposes several features that make use of gradient and/or texture information present in images and videos for representation and a non-linear classification framework for human detection. Existing features and classification frameworks of human detection are analyzed thoroughly and from their limitations, new features and a classification framework are derived. This development should help to advance human detection performance and should be especially useful to professionals in the Artificial Intelligence field or anyone developing a system for human detection.
Computer vision has been gaining increasing popularity in this age of automation and advancing technology. In particular, human detection has been looked into quite thoroughly in the recent years. Human detection is important in areas of surveillance, pedestrian detection, human-computer interaction etc where humans need to be detected very accurately. With accurate detection, postprocessing of human actions can then be done effectively. For accurate detection, it is necessary that the features and classification framework adopted are robust and effective. This book proposes several features that make use of gradient and/or texture information present in images and videos for representation and a non-linear classification framework for human detection. Existing features and classification frameworks of human detection are analyzed thoroughly and from their limitations, new features and a classification framework are derived. This development should help to advance human detection performance and should be especially useful to professionals in the Artificial Intelligence field or anyone developing a system for human detection.
4
Feature and Classifier Development - A procedural approach for robust human detection
~EN PB NW
ISBN: 9783659637162 bzw. 3659637165, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Feature and Classifier Development: Computer vision has been gaining increasing popularity in this age of automation and advancing technology. In particular, human detection has been looked into quite thoroughly in the recent years. Human detection is important in areas of surveillance, pedestrian detection, human-computer interaction etc where humans need to be detected very accurately. With accurate detection, postprocessing of human actions can then be done effectively. For accurate detection, it is necessary that the features and classification framework adopted are robust and effective. This book proposes several features that make use of gradient and/or texture information present in images and videos for representation and a non-linear classification framework for human detection. Existing features and classification frameworks of human detection are analyzed thoroughly and from their limitations, new features and a classification framework are derived. This development should help to advance human detection performance and should be especially useful to professionals in the Artificial Intelligence field or anyone developing a system for human detection. Englisch, Taschenbuch.
Feature and Classifier Development: Computer vision has been gaining increasing popularity in this age of automation and advancing technology. In particular, human detection has been looked into quite thoroughly in the recent years. Human detection is important in areas of surveillance, pedestrian detection, human-computer interaction etc where humans need to be detected very accurately. With accurate detection, postprocessing of human actions can then be done effectively. For accurate detection, it is necessary that the features and classification framework adopted are robust and effective. This book proposes several features that make use of gradient and/or texture information present in images and videos for representation and a non-linear classification framework for human detection. Existing features and classification frameworks of human detection are analyzed thoroughly and from their limitations, new features and a classification framework are derived. This development should help to advance human detection performance and should be especially useful to professionals in the Artificial Intelligence field or anyone developing a system for human detection. Englisch, Taschenbuch.
5
Feature and Classifier Development
~EN PB NW
ISBN: 3659637165 bzw. 9783659637162, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
7
Feature and Classifier Development
EN NW
ISBN: 9783659637162 bzw. 3659637165, in Englisch, OmniScriptum GmbH & Co. KG, OmniScriptum GmbH & Co. KG, OmniScriptum GmbH & Co. KG, neu.
Lieferung aus: Vereinigte Staaten von Amerika, zzgl. Versandkosten, Free Shipping on eligible orders over $25.
Satpathy Amit, Paperback, English-language edition, Pub by OmniScriptum GmbH & Co. KG.
Satpathy Amit, Paperback, English-language edition, Pub by OmniScriptum GmbH & Co. KG.
8
Feature and Classifier Development (2014)
~EN PB NW
ISBN: 9783659637162 bzw. 3659637165, vermutlich in Englisch, Taschenbuch, neu.
Lieferung aus: Deutschland, Next Day, Versandkostenfrei.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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