Improving the accuracy of action classification using view-dependent context information
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Context-based scene recognition from visual data in smart homes: an Information Fusion approach
Personal and Ubiquitous Computing
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We propose a data integration and reasoning technique for automatic environment discovery in smart homes based on observations of user interactions with objects. This approach is complementary to traditional appearance-based object recognition, which often demands large training sets. In our approach, object recognition is achieved in a semantic way by linking object behaviors to the pose and activity of the person using them. The complex relations between objects and user activities are modeled with a Markov logic network. The embodiments of the proposed approach in two multicamera smart environments are described, and the experimental results are presented.