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Ambient Intelligence [electronic resource] :A Novel Paradigm / edited by Paolo Remagnino, Gian Luca Foresti, Tim Ellis.

by Remagnino, Paolo [editor.]; Foresti, Gian Luca [editor.]; Ellis, Tim [editor.]; SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: New York, NY : Springer New York, 2005.Description: XIII, 240 p. online resource.ISBN: 9780387229911.Subject(s): Computer science | Computer Communication Networks | Artificial intelligence | Computer vision | Computer Science | Computer Communication Networks | Computer Imaging, Vision, Pattern Recognition and Graphics | Artificial Intelligence (incl. Robotics) | Image Processing and Computer VisionDDC classification: 004.6 Online resources: Click here to access online
Contents:
Ambient Intelligence -- Towards Ambient Intelligence For The Domestic Care Of The Elderly -- Scaling Ambient Intelligence -- Video and Radio Attributes Extraction For Heterogeneous Location Estimation -- Distributed Active Multicamera Networks -- A Distributed Multi Camera Surveillance System -- Learning Ang Integrating Information From Multiple Camera Views -- Fast Online Speaker Adaptation For Smart Room Applications -- Stereo-Based 3D Face Recognition System For AMI -- Security and Building Intelligence -- Sustainable Cybernetics Systems.
In: Springer eBooksSummary: Ambient Intelligence (AmI) is an integrating technology for supporting a pervasive and transparent infrastructure for implementing smart environments. Such technology is used to enable environments for detecting events and behaviors of people and for responding in a contextually relevant fashion. AmI proposes a multi-disciplinary approach for enhancing human machine interaction. Ambient Intelligence: A Novel Paradigm is a compilation of edited chapters describing current state-of-the-art and new research techniques including those related to intelligent visual monitoring, face and speech recognition, innovative education methods, as well as smart and cognitive environments. The authors start with a description of the iDorm as an example of a smart environment conforming to the AmI paradigm, and introduces computer vision as an important component of the system. Other computer vision examples describe visual monitoring for the elderly, classic and novel surveillance techniques using clusters of cameras installed in indoor and outdoor application domains, and the monitoring of public spaces. Face and speech recognition systems are also covered as well as enhanced LEGO blocks for novel educational purposes. The book closes with a provocative chapter on how a cybernetic system can be designed as the backbone of a human machine interaction.
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Ambient Intelligence -- Towards Ambient Intelligence For The Domestic Care Of The Elderly -- Scaling Ambient Intelligence -- Video and Radio Attributes Extraction For Heterogeneous Location Estimation -- Distributed Active Multicamera Networks -- A Distributed Multi Camera Surveillance System -- Learning Ang Integrating Information From Multiple Camera Views -- Fast Online Speaker Adaptation For Smart Room Applications -- Stereo-Based 3D Face Recognition System For AMI -- Security and Building Intelligence -- Sustainable Cybernetics Systems.

Ambient Intelligence (AmI) is an integrating technology for supporting a pervasive and transparent infrastructure for implementing smart environments. Such technology is used to enable environments for detecting events and behaviors of people and for responding in a contextually relevant fashion. AmI proposes a multi-disciplinary approach for enhancing human machine interaction. Ambient Intelligence: A Novel Paradigm is a compilation of edited chapters describing current state-of-the-art and new research techniques including those related to intelligent visual monitoring, face and speech recognition, innovative education methods, as well as smart and cognitive environments. The authors start with a description of the iDorm as an example of a smart environment conforming to the AmI paradigm, and introduces computer vision as an important component of the system. Other computer vision examples describe visual monitoring for the elderly, classic and novel surveillance techniques using clusters of cameras installed in indoor and outdoor application domains, and the monitoring of public spaces. Face and speech recognition systems are also covered as well as enhanced LEGO blocks for novel educational purposes. The book closes with a provocative chapter on how a cybernetic system can be designed as the backbone of a human machine interaction.

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