Abstract
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.
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Gascueña, J.M., Serrano-Cuerda, J., Castillo, J.C., Fernández-Caballero, A., López, M.T. (2014). A Multi-agent System for Infrared and Color Video Fusion. In: Bajo Perez, J., et al. Trends in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection. Advances in Intelligent Systems and Computing, vol 293. Springer, Cham. https://doi.org/10.1007/978-3-319-07476-4_16
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DOI: https://doi.org/10.1007/978-3-319-07476-4_16
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07475-7
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