Publication: Ontological representation of time-of-flight camera data to support vision-based AmI
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2012
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Tutors
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IEEE
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Abstract
Recent advances in technologies for capturing video data have opened a vast amount of new application areas. Among them, the incorporation of Time-of-Flight (ToF) cameras on Ambient Intelligence (AmI) environments. Although theperformance of tracking algorithms have quickly improved, symbolic models used to represent the resulting knowledge have not yet been adapted for smart environments. This paper presents an extension of a previous system in the area of videobased AmI to incorporate ToF information to enhance sceneinterpretation. The framework is founded on an ontologybased model of the scene, which is extended to incorporate ToF data. The advantages and new features of the model are demonstrated in a Social Signal Processing (SSP) application.
Description
Proceedings of: 4th International Workshop on Sensor Networks and Ambient Intelligence, 19-23 March 2012, Lugano ( Switzerland)
Keywords
Visual sensor networks, Time-of-Flight camera, Ontologies, Ambient intelligence, Social Signal Processing
Bibliographic citation
2012 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), Lugano,Switzerland, March 19-23, 2012, IEEE, pp. 865 - 870.