Multi-Camera Multi-Person Tracking for EasyLiving
VS '00 Proceedings of the Third IEEE International Workshop on Visual Surveillance (VS'2000)
Mutual calibration of camera motes and RFIDs for people localization and identification
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
Multi-person tracking with sparse detection and continuous segmentation
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
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Context-awareness constitutes a fundamental attribute of a smart environment. Our research aims at advancing the context-awareness capabilities of ambient intelligence environments by combining multi-modal information from both stationary and moving sensors. The collected data enables us to perform person identification and 3-D localization and recognize activities. In addition, we explore closed-loop feedback by integrating autonomous robots interacting with the users.