Artículo
Pedre, S.; Stoliar, A.; Borensztejn, P. "Real time hot spot detection using FPGA" (2009) 14th Iberoamerican Conference on Pattern Recognition, CIARP 2009. 5856 LNCS:595-602
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Abstract:
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.
Registro:
| Documento: | Artículo |
| Título: | Real time hot spot detection using FPGA |
| Autor: | Pedre, S.; Stoliar, A.; Borensztejn, P. |
| Ciudad: | Guadalajara, Jalisco |
| Filiación: | Departamento de Computación, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina |
| Palabras clave: | 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 |
| Año: | 2009 |
| Volumen: | 5856 LNCS |
| Página de inicio: | 595 |
| Página de fin: | 602 |
| DOI: | http://dx.doi.org/10.1007/978-3-642-10268-4_70 |
| Título revista: | 14th Iberoamerican Conference on Pattern Recognition, CIARP 2009 |
| Título revista abreviado: | Lect. Notes Comput. Sci. |
| ISSN: | 03029743 |
| PDF: | https://bibliotecadigital.exactas.uba.ar/download/paper/paper_03029743_v5856LNCS_n_p595_Pedre.pdf |
| Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v5856LNCS_n_p595_Pedre |
Referencias:
- Dally, W., Balfour, J., Black-Shaffer, D., Chen, J., Chen, H.C., Parikh, V., Park, J., Sheffield, D., Efficient embedded computing (2008) Computer, pp. 27-32. , IEEE 0018-9162
- Salami, E., Pedre, S., Borenzstejn, P., Barrado, C., Stoliar, A., Pastor, E., Decision support system for hot spot detection (2009) 5th International Conference on Intelligent Environments (IE 2009), , Universitat Politecnica de Catalunya, Barcelona, Spain
- Draper, B.A., Beveridge, R., Willem, B.A.P., Ross, C., Chawathe, M., Accelerated image processing on FPGAs (2003) IEEE Transactions on Image Processing, 12 (12), pp. 1543-1551
- Torres, C., Arias, M., FPGA-based configurable systolic architecture for windows-based image processing (2005) EURASIP Journal on Applied Signal Processing, Special Issue on Machine Perception in A Chip 2005, 7, pp. 1024-1034
- Chang, C., Hsiao, P., Huang, Z., Integrated operation of image capturing and processing in FPGA (2006) IJCSNS International Journal of Computer Science and Network Security, 6 (1), pp. 173-180
- Chang, L., Rodés, I., Méndez, H., Del Toro, E., Best-shot selection for video face recognition using FPGA (2008) LNCS, 5197, pp. 543-550. , Ruiz-Shulcloper, J., Kropatsch, W.G. (eds.) CIARP 2008. Springer, HeidelbergA4 - International Association for Pattern Recogntion (IAPR); Mex. Assoc. Comput. Vis., Neurocomputing Rob. (MACVNR); Cuban Association for Pattern Recogntion (ACRP); Chilean Association for Pattern Recogntion (AChiRP); Spec. Interest Group Braz. Comput. Soc. (SIGPR-SBC)
Citas:
---------- APA ----------
Pedre, S., Stoliar, A. & Borensztejn, P. (2009) . Real time hot spot detection using FPGA. 14th Iberoamerican Conference on Pattern Recognition, CIARP 2009, 5856 LNCS, 595-602.http://dx.doi.org/10.1007/978-3-642-10268-4_70
---------- CHICAGO ----------
Pedre, S., Stoliar, A., Borensztejn, P. "Real time hot spot detection using FPGA" . 14th Iberoamerican Conference on Pattern Recognition, CIARP 2009 5856 LNCS (2009) : 595-602.http://dx.doi.org/10.1007/978-3-642-10268-4_70
---------- MLA ----------
Pedre, S., Stoliar, A., Borensztejn, P. "Real time hot spot detection using FPGA" . 14th Iberoamerican Conference on Pattern Recognition, CIARP 2009, vol. 5856 LNCS, 2009, pp. 595-602.http://dx.doi.org/10.1007/978-3-642-10268-4_70
---------- VANCOUVER ----------
Pedre, S., Stoliar, A., Borensztejn, P. Real time hot spot detection using FPGA. Lect. Notes Comput. Sci. 2009;5856 LNCS:595-602.http://dx.doi.org/10.1007/978-3-642-10268-4_70
