Detection of lies by facial thermal imagery analysis
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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Universidad Pedagógica y Tecnológica de Colombia
2017-01-01
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| Series: | Revista Facultad de Ingeniería |
| Subjects: | |
| Online Access: | http://revistas.uptc.edu.co/index.php/ingenieria/article/view/5771 |
| _version_ | 1818932494838267904 |
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| author | Sebastián Bedoya-Echeverry Hernán Belalcázar-Ramírez Humberto Loaiza-Correa Sandra Esperanza Nope-Rodríguez Carlos Rafael Pinedo-Jaramillo Andrés David Restrepo-Girón |
| author_facet | Sebastián Bedoya-Echeverry Hernán Belalcázar-Ramírez Humberto Loaiza-Correa Sandra Esperanza Nope-Rodríguez Carlos Rafael Pinedo-Jaramillo Andrés David Restrepo-Girón |
| author_sort | Sebastián Bedoya-Echeverry |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T04:33:23Z |
| format | Article |
| id | doaj.art-41fb664c38cd4b049eae64f1c2e75e4b |
| institution | Directory Open Access Journal |
| issn | 0121-1129 2357-5328 |
| language | English |
| last_indexed | 2024-12-20T04:33:23Z |
| publishDate | 2017-01-01 |
| publisher | Universidad Pedagógica y Tecnológica de Colombia |
| record_format | Article |
| series | Revista Facultad de Ingeniería |
| spelling | doaj.art-41fb664c38cd4b049eae64f1c2e75e4b2022-12-21T19:53:19ZengUniversidad Pedagógica y Tecnológica de ColombiaRevista Facultad de Ingeniería0121-11292357-53282017-01-012644475910.19053/01211129.v26.n44.2017.57715771Detection of lies by facial thermal imagery analysisSebastián Bedoya-Echeverry0Hernán Belalcázar-Ramírez1Humberto Loaiza-Correa2Sandra Esperanza Nope-Rodríguez3Carlos Rafael Pinedo-Jaramillo4Andrés David Restrepo-Girón5Universidad del Valle (Cali-Valle del Cauca, Colombia).Universidad del Valle (Cali-Valle del Cauca, Colombia).Ph.D. Universidad del Valle (Cali-Valle del Cauca, Colombia).Ph.D. Universidad del Valle (Cali-Valle del Cauca, Colombia).M.Sc. Universidad del Valle (Cali-Valle del Cauca, Colombia).Ph.D. Universidad del Valle (Cali-Valle del Cauca, Colombia).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.http://revistas.uptc.edu.co/index.php/ingenieria/article/view/5771face anthropometric measurementsKLT algorithmlie detectionperiorbital areathermography |
| spellingShingle | Sebastián Bedoya-Echeverry Hernán Belalcázar-Ramírez Humberto Loaiza-Correa Sandra Esperanza Nope-Rodríguez Carlos Rafael Pinedo-Jaramillo Andrés David Restrepo-Girón Detection of lies by facial thermal imagery analysis Revista Facultad de Ingeniería face anthropometric measurements KLT algorithm lie detection periorbital area thermography |
| title | Detection of lies by facial thermal imagery analysis |
| title_full | Detection of lies by facial thermal imagery analysis |
| title_fullStr | Detection of lies by facial thermal imagery analysis |
| title_full_unstemmed | Detection of lies by facial thermal imagery analysis |
| title_short | Detection of lies by facial thermal imagery analysis |
| title_sort | detection of lies by facial thermal imagery analysis |
| topic | face anthropometric measurements KLT algorithm lie detection periorbital area thermography |
| url | http://revistas.uptc.edu.co/index.php/ingenieria/article/view/5771 |
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