Cita:
Andre Ponce de Leon F. de Carvalho, et al. (eds.) (2010). Distributed Computing and Artificial Intelligence: 7th International Symposium. (Advances in Intelligent and Soft Computing, 79) Springer, 301-308.
Agradecimientos:
This work was supported in part by Projects CICYT TIN2008-06742-C02-02/TSI, CICYT TEC2008-06732-C02-02/TEC, SINPROB, CAM CONTEXTS S2009/TIC-1485 and DPS2008-07029-C02-02
Serie/Num.:
Advances in Intelligent and Soft Computing 79
This paper outlines an architecture formulti-camera andmulti-modal sensor fusion.We define a high-level architecture in which image sensors like standard color, thermal, and time of flight cameras can be fused with high accuracy location systems based on UWB, This paper outlines an architecture formulti-camera andmulti-modal sensor fusion.We define a high-level architecture in which image sensors like standard color, thermal, and time of flight cameras can be fused with high accuracy location systems based on UWB, Wifi, Bluetooth or RFID technologies. This architecture is specially well-suited for indoor environments, where such heterogeneous sensors usually coexists. The main advantage of such a system is that a combined nonredundant output is provided for all the detected targets. The fused output includes in its simplest form the location of each target, including additional features depending of the sensors involved in the target detection, e.g., location plus thermal information. This way, a surveillance or context-aware system obtains more accurate and complete information than only using one kind of technology[+][-]
Nota:
Proceedings of: Forth International Workshop on User-Centric Technologies and applications (CONTEXTS 2010). Valencia, 07-10 September , 2010.
