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Probabilistic reasoning in intelligent systems: networks of plausible inference
Pfinder: Real-Time Tracking of the Human Body
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Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review
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Belief networks, hidden Markov models, and Markov random fields: a unifying view
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AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Probabilistic frame-based systems
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Learning in graphical models
Bayesian Networks and Decision Graphs
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Introduction to Bayesian Networks
Introduction to Bayesian Networks
The Interactive Workspaces Project: Experiences with Ubiquitous Computing Rooms
IEEE Pervasive Computing
The Aware Home: A Living Laboratory for Ubiquitous Computing Research
CoBuild '99 Proceedings of the Second International Workshop on Cooperative Buildings, Integrating Information, Organization, and Architecture
Coupled hidden Markov models for complex action recognition
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
CT '97 Proceedings of the 2nd International Conference on Cognitive Technology (CT '97)
Invariant features for 3-D gesture recognition
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Detection and Estimation of Pointing Gestures in Dense Disparity Maps
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Real-Time Self-Calibrating Stereo Person Tracking Using 3-D Shape Estimation from Blob Features
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Dynamic Bayesian networks for audio-visual speech recognition
EURASIP Journal on Applied Signal Processing
Accounting for context in plan recognition, with application to traffic monitoring
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
User interface of interactive media art in a stereoscopic environment
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The rapid evolution of computers' processing power, progress in projection and display technology, and their low cost, accompanied by recent advances in mathematical modeling, make available to space designers today sophisticated technologies which were once accessible only to research institutions or large companies. Thanks to wireless sensing techniques it is possible to endow a space with perceptual intelligence, and make it aware of how people use it, move in it, or react to it. Intelligent Spaces are relevant for several applications or tasks which range from surveillance to entertainment, from medical rehabilitation to artistic performance, from museum exhibit design to commerce. The author's work focuses on Narrative Spaces which are storytellers, able to articulate an informative or entertaining audio-visual narration for people interactively. Narrative Spaces communicate by use of large scale coordinated projections, sounds and displays whose contents are choreographed by the natural body movements or physical gestures of the people in them. This paper describes the guiding principles and modeling approaches that, according to the author, enable a robust modeling of user input and communication strategies for digital content presentation in Intelligent Narrative Spaces. It then provides examples of applications built according to the specified criteria.