Ambient Surveillance by Probabilistic-Possibilistic Perception

Ambient Surveillance by Probabilistic-Possibilistic Perception

Bittermann, M.S.
Ciftcioglu, O.

Architecture and The Built Environment

Architectural Engineering +Technology

2013-09-18

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.

perception
possibility
ambient intelligence
surveillance

http://resolver.tudelft.nl/uuid:3e35b9ed-76f9-4de9-afb9-fbfc4a4ef808

eCAADe (Education and research in Computer Aided Architectural Design in Europe)

978-94-91207-04-4

eCAADe 2013: Computation and Performance – Proceedings of the 31st International Conference on Education and research in Computer Aided Architectural Design in Europe, Delft, The Netherlands, 18-20 September 2013

Institutional Repository

conference paper

© 2013 eCAADe
Faculty of Architecture, Delft University of Technology