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: | Online |
| Language: | eng |
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Universidad Pedagógica y Tecnológica de Colombia
2017
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| Subjects: | |
| Online Access: | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/5771 |
| _version_ | 1801706076165373952 |
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| author | Bedoya-Echeverry, Sebastián Belalcázar-Ramírez, Hernán Loaiza-Correa, Humberto Nope-Rodríguez, Sandra Esperanza Pinedo-Jaramillo, Carlos Rafael Restrepo-Girón, Andrés David |
| author_facet | Bedoya-Echeverry, Sebastián Belalcázar-Ramírez, Hernán Loaiza-Correa, Humberto Nope-Rodríguez, Sandra Esperanza Pinedo-Jaramillo, Carlos Rafael Restrepo-Girón, Andrés David |
| author_sort | Bedoya-Echeverry, Sebastián |
| collection | OJS |
| 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. |
| format | Online |
| id | oai:oai.revistas.uptc.edu.co:article-5771 |
| institution | Revista Facultad de Ingeniería |
| language | eng |
| publishDate | 2017 |
| publisher | Universidad Pedagógica y Tecnológica de Colombia |
| record_format | ojs |
| spelling | oai:oai.revistas.uptc.edu.co:article-57712022-06-15T16:19:57Z Detection of lies by facial thermal imagery analysis Bedoya-Echeverry, Sebastián Belalcázar-Ramírez, Hernán Loaiza-Correa, Humberto Nope-Rodríguez, Sandra Esperanza Pinedo-Jaramillo, Carlos Rafael Restrepo-Girón, Andrés David face anthropometric measurements KLT algorithm lie detection periorbital area thermography 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. Universidad Pedagógica y Tecnológica de Colombia 2017-01-25 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion investigation application/pdf application/xml https://revistas.uptc.edu.co/index.php/ingenieria/article/view/5771 10.19053/01211129.v26.n44.2017.5771 Revista Facultad de Ingeniería; Vol. 26 No. 44 (2017); 47-59 Revista Facultad de Ingeniería; Vol. 26 Núm. 44 (2017); 47-59 2357-5328 0121-1129 eng https://revistas.uptc.edu.co/index.php/ingenieria/article/view/5771/4714 https://revistas.uptc.edu.co/index.php/ingenieria/article/view/5771/6392 |
| spellingShingle | face anthropometric measurements KLT algorithm lie detection periorbital area thermography Bedoya-Echeverry, Sebastián Belalcázar-Ramírez, Hernán Loaiza-Correa, Humberto Nope-Rodríguez, Sandra Esperanza Pinedo-Jaramillo, Carlos Rafael Restrepo-Girón, Andrés David Detection of lies by facial thermal imagery analysis |
| 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 |
| topic_facet | face anthropometric measurements KLT algorithm lie detection periorbital area thermography |
| url | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/5771 |
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