Print Email Facebook Twitter Ambient Surveillance by Probabilistic-Possibilistic Perception Part of: eCAADe 2013: Computation and Performance Proceedings of the 31st International Conference on Education and research in Computer Aided Architectural Design in Europe· list the conference papers Title Ambient Surveillance by Probabilistic-Possibilistic Perception Author Bittermann, M.S. Ciftcioglu, O. Date 2013-09-20 Abstract A method for quantifying ambient surveillance is presented, which is based on probabilistic-possibilistic perception. The human surveillance of a scene through observing camera sensed images on a monitor is modeled in three steps. First immersion of the observer is simulated by modeling perception of the scene from the camera locations using probabilistic perception approach. The perceptions are thereafter combined by means of probabilistic union, simulating simultaneous watching of the scene from multiple viewing positions. As third step the combined perceptions are converted to a possibility using triangular possibility density function. The latter step accounts for the fact that surveillance takes place via monitor depiction and not directly as perception of the actual physical scene. The method is described and demonstrated by means of an ambient surveillance application involving three cameras. The resulting possibility of perception is compared to the case of using two cameras, quantifying the added value of additional camera as to surveillance Subject perceptionpossibilityambient intelligencesurveillance To reference this document use: http://resolver.tudelft.nl/uuid:8840de7a-0210-4657-9195-91c80839a548 Part of collection Conference proceedings Document type conference paper Rights (c) 2013 Bittermann, M.S.; Ciftcioglu, O. Files PDF ecaade2013_062.content.pdf 2.26 MB Close viewer /islandora/object/uuid:8840de7a-0210-4657-9195-91c80839a548/datastream/OBJ/view