Sensor models and multisensor integration
International Journal of Robotics Research - Special Issue on Sensor Data Fusion
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Signal Processing - Intelligent systems for signal and image understanding
Space-time memory: a parallel programming abstraction for interactive multimedia applications
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Digital family portraits: supporting peace of mind for extended family members
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The Family Intercom: Developing a Context-Aware Audio Communication System
UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
The Family Intercom: Developing a Context-Aware Audio Communication System
UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
Multi-Modal Tracking of Faces for Video Communications
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
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ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 05
Human-Computer Interaction
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Computer
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Combining environmental cues & head gestures to interact with wearable devices
ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
Multi-sensory and Multi-modal Fusion for Sentient Computing
International Journal of Computer Vision
Audio-visual multi-person tracking and identification for smart environments
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Probabilistic integration of sparse audio-visual cues for identity tracking
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Performance analysis for gait in camera networks
AREA '08 Proceedings of the 1st ACM workshop on Analysis and retrieval of events/actions and workflows in video streams
Handling uncertainty in multimodal pervasive computing applications
Computer Communications
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ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
Performance analysis for automated gait extraction and recognition in multi-camera surveillance
Multimedia Tools and Applications
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A prototype system for implementing a reliable sensor network for large scale smart environments is presented. Most applications within any form of smart environments (rooms, offices, homes, etc.) are dependent on reliable who, where, when, and what information of its inhabitants (users). This information can be inferred from different sensors spread throughout the space. However, isolated sensing technologies provide limited information under the varying, dynamic, and long-term scenarios (24/7), that are inherent in applications for intelligent environments. In this paper, we present a prototype system that provides an infrastructure for leveraging the strengths of different sensors and processes used for the interpretation of their collective data. We describe the needs of such systems, propose an architecture to dealwith such multi-modal fusion, and discuss the initial set of sensors and processes used to address such needs.