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Sensors 2012, 12(5), 5687-5704; doi:10.3390/s120505687
Article

Using the Standard Deviation of a Region of Interest in an Image to Estimate Camera to Emitter Distance

1
, 2,* , 1
, 2
, 1
 and 2
1 Telecommunication Department, University of Oriente, Av. de las Américas, SN, Santiago de Cuba 90100, Cuba 2 Electronics Department, University of Alcalá, Superior Polytechnic School, University Campus, Alcalá de Henares 28871, Madrid, Spain
* Author to whom correspondence should be addressed.
Received: 15 March 2012 / Revised: 9 April 2012 / Accepted: 13 April 2012 / Published: 3 May 2012
(This article belongs to the Section Physical Sensors)
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Abstract

In this study, a camera to infrared diode (IRED) distance estimation problem was analyzed. The main objective was to define an alternative to measures depth only using the information extracted from pixel grey levels of the IRED image to estimate the distance between the camera and the IRED. In this paper, the standard deviation of the pixel grey level in the region of interest containing the IRED image is proposed as an empirical parameter to define a model for estimating camera to emitter distance. This model includes the camera exposure time, IRED radiant intensity and the distance between the camera and the IRED. An expression for the standard deviation model related to these magnitudes was also derived and calibrated using different images taken under different conditions. From this analysis, we determined the optimum parameters to ensure the best accuracy provided by this alternative. Once the model calibration had been carried out, a differential method to estimate the distance between the camera and the IRED was defined and applied, considering that the camera was aligned with the IRED. The results indicate that this method represents a useful alternative for determining the depth information.
Keywords: standard deviation; distance estimation; infrared; differential method; artificial vision standard deviation; distance estimation; infrared; differential method; artificial vision
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Cano-García, A.E.; Lázaro, J.L.; Infante, A.; Fernández, P.; Pompa-Chacón, Y.; Espinoza, F. Using the Standard Deviation of a Region of Interest in an Image to Estimate Camera to Emitter Distance. Sensors 2012, 12, 5687-5704.

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