Real time hot spot detection using FPGA
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 pr...
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Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v5856LNCS_n_p595_Pedre http://hdl.handle.net/20.500.12110/paper_03029743_v5856LNCS_n_p595_Pedre |
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paper:paper_03029743_v5856LNCS_n_p595_Pedre2023-06-08T15:28:34Z Real time hot spot detection using FPGA Pedre, Sol 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 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. 2009 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v5856LNCS_n_p595_Pedre http://hdl.handle.net/20.500.12110/paper_03029743_v5856LNCS_n_p595_Pedre |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
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 |
spellingShingle |
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 Pedre, Sol Real time hot spot detection using FPGA |
topic_facet |
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 |
description |
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. |
author |
Pedre, Sol |
author_facet |
Pedre, Sol |
author_sort |
Pedre, Sol |
title |
Real time hot spot detection using FPGA |
title_short |
Real time hot spot detection using FPGA |
title_full |
Real time hot spot detection using FPGA |
title_fullStr |
Real time hot spot detection using FPGA |
title_full_unstemmed |
Real time hot spot detection using FPGA |
title_sort |
real time hot spot detection using fpga |
publishDate |
2009 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v5856LNCS_n_p595_Pedre http://hdl.handle.net/20.500.12110/paper_03029743_v5856LNCS_n_p595_Pedre |
work_keys_str_mv |
AT pedresol realtimehotspotdetectionusingfpga |
_version_ |
1768541938091294720 |