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Vol. 26 Núm. 44 (2017)

Articulos

Detection of lies by facial thermal imagery analysis

https://doi.org/10.19053/01211129.v26.n44.2017.5771

Publicado 2017-01-25

  • Sebastián Bedoya-Echeverry
    • ,
  • Hernán Belalcázar-Ramírez
    • ,
  • Humberto Loaiza-Correa
    • ,
  • Sandra Esperanza Nope-Rodríguez
    • ,
  • Carlos Rafael Pinedo-Jaramillo
    • ,
  • Andrés David Restrepo-Girón

Sebastián Bedoya-Echeverry
Universidad del Valle (Cali-Valle del Cauca, Colombia).

Hernán Belalcázar-Ramírez
Universidad del Valle (Cali-Valle del Cauca, Colombia).

Humberto Loaiza-Correa
Ph.D. Universidad del Valle (Cali-Valle del Cauca, Colombia).

Sandra Esperanza Nope-Rodríguez
Ph.D. Universidad del Valle (Cali-Valle del Cauca, Colombia).

Carlos Rafael Pinedo-Jaramillo
M.Sc. Universidad del Valle (Cali-Valle del Cauca, Colombia).

Andrés David Restrepo-Girón
Ph.D. Universidad del Valle (Cali-Valle del Cauca, Colombia).

Resumen

An artificial vision system is presented for lie detection by analyzing face thermal image sequences. This system represents an alternative technique to the polygraph. Some of its features are: 1) it has no physical contact with the examinee, 2) it is non-intrusive, 3) it has a potential for private use, and 4) it can simultaneously analyze several persons. The proposed system is based on the detection of physiological changes in temperature in the lacrimal puncta area caused by the subtle increase in blood flow through the nearby vascular network. These changes take place when anxiety appears as a consequence of deception. Thus, the system segments the periorbital area, and tracks consecutive frames using the Kanade-Lucas-Tomasi algorithm. The results show a success rate of 79.2 % in detecting lies using a simple classification based on the comparison between the estimated temperatures in control questions, and the rest of the interrogation procedure. The performance of this system is comparable with previous works, where cameras with better specifications were used.

Palabras clave

face anthropometric measurements, KLT algorithm, lie detection, periorbital area, thermography

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Citas

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