Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Online Sequential Prediction via Incremental Parsing: The Active LeZi Algorithm
IEEE Intelligent Systems
Ambient Intelligence—the Next Step for Artificial Intelligence
IEEE Intelligent Systems
Body Parts Detection for People Tracking Using Trees of Histogram of Oriented Gradient Descriptors
AVSS '10 Proceedings of the 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance
AmIHomCare: a complex ambient intelligent system for home medical assistance
ACACOS'11 Proceedings of the 10th WSEAS international conference on Applied computer and applied computational science
Designing smart environments: a paradigm based on learning and prediction
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
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This paper presents a multi-agent architecture for a supervising system which is part of a new intelligent ambient system, called AmIHomCare. The supervising system detects the context of the person (using a domain ontology): the person location in the room together with the surrounding objects and its body posture. A sequence of these contexts is assembled in a daily activity, based on a set of rules, described by a stochastic context free grammar with attributes. Also the system predicts the next context and the next activity in order to detect emergencies in the smart environment.