A Multi-agent System for Infrared and Color Video Fusion
Nowadays, the use of heterogeneous cameras is preferred to develop robust monitoring systems. Under multi-camera setups, information fusion processes are required to improve the results independently obtained from each installed camera. In addition, multi-agent systems are designed to face up the development of complex systems such as advanced monitoring systems. This paper describes the use of INT 3 technologies to develop an agent-based robust people detection and tracking system completed by a scheme for infrared and color video fusion. The system development process covers from the modeling to the implementation of the system. The meaning of the levels selected by an analyst is detailed as well as the components required to fulfil the requirements for human detection and tracking. The proposed approach has the ability to make decisions about the convenience to fuse visible and infrared spectra information.
KeywordsMulti-agent system Color video Infrared video Video fusion INT3 technologies
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- 4.Chiaretta, S., Nayyeri, K.: Beginning ASP.NET MVC 1.0. Wiley Publishing, Inc. (2009)Google Scholar
- 10.Hammoud, R.I.: Augmented vision perception in infrared: Algorithms and applied systems. Springer (2009)Google Scholar
- 12.Luo, R.C., Kay, M.G.: Data fusion and sensor integration: State of the art 1990s. In: Abidi, M.A., Gonzalez, R.C. (eds.) Data Fusion in Robotics and Machine Intelligence, pp. 7–135. Academic Press, San Diego (1992)Google Scholar
- 15.Reenskaug, T.: Thing-Model-View-Editor - An example from a planning system. Technical note, Xerox PARC (1979)Google Scholar
- 16.Serrano-Cuerda, J., María, T., López, M., Fernández-Caballero, A.: Robust Human Detection and Tracking in Intelligent Environments by Information Fusion of Color and Infrared Video. In: 7th Int. Conf. on Intelligent Environments, pp. 354–357 (2011)Google Scholar
- 17.Stefano, L., Tombari, F., Lisi, E., Mattoccia, S.: Robust and accurate change detection under sudden illumination variations. In: Workshop on Multi-dimensional and Multi-view Image Processing, pp. 103–109 (2007)Google Scholar
- 18.Weyns, D.: Architecture-based design of multi-agent systems. Springer (2010)Google Scholar
- 19.Wooldridge, M.: An Introduction to MultiAgent Systems, 2nd edn. John Wiley & Sons (2009)Google Scholar