Real time hot spot detection using FPGA

• Autores: Pedre, S.; Stoliar, A.; Borensztejn, P.
• Año de publicación: 2009
• Idioma: inglés
• Tipo de recurso: artículo
• Fuente: Lect. Notes Comput. Sci. 2009;5856 LNCS:595-602
• Materia: Embedded computing; FPGA; Hot spot detection; Real time image processing; Remote sensing; Acquisition time; Embedded computing; FPGA; FPGA implementations; Hot spot; Hot spot detection; Image sizes; Infra-red cameras; Low-power consumption; Processing delay; Processing resources; Real time; Real time videos; Real-time image processing; Realtime processing; Remote sensing applications; Spatial configuration; Video rates; Cameras; Computer vision; Imaging systems; Remote sensing; Temperature indicating cameras; Computer applications
• Institución: Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales

Many remote sensing applications require on-board, real time processing with low power consumption. Solutions based in FPGA implementations are common in these cases to optimize the processing resources needed. In this paper we describe an FPGA based solution for a remote sensing application that processes real time video from an infrared camera in order to identify hot spots. The solution reduces the information in each frame to the location and spatial configuration of each hot spot present in the frame. The proposed method successfully segments the image with a total processing delay equal to the acquisition time of one pixel (that is, at the video rate). This processing delay is independent of the image size. The solution is not tied up to one specific camera, and may be used with several infrared cameras with minor adjustments. FPGA area equations are also presented in order to calculate the needed FPGA size for a particular application. © 2009 Springer-Verlag Berlin Heidelberg.
Fil:Pedre, S. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.