| Autor: |
S. Taking, A. Kamarudin, Razaidi Hussin, M. H. A. Aziz, S. N. Mohyar, S. J. Cheah, Shahrir R. Kasjoo |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings. |
| ISSN: |
0094-243X |
| DOI: |
10.1063/1.5080899 |
| Popis: |
This study proposes thermal imaging technique to enhance visualization of a detected human face inside a detected car. Although an infrared camera it is more commonly used in industrial and military, but software application has the advantages by image processing an original image into a thermal imaging representation that only used a conventional CCTV camera in public areas. The algorithms started with car detection, counting and tracking as a primary step in a car park, followed by detecting a human face presence inside a car and finally implementing thermal image processing to further ensure the real situation happened correctly before issuing an error warning. Based on seven unbiased scenarios experiments, the accuracy of a standalone thermal imaging identification is higher than standalone human face detection for recognizing the human faces by 4.02%. Hence, a combined method improves the performance of thermal image identification for detecting human face inside a car in terms of accuracy by 2.97% as compared with the conventional human face recognition technique in the situations. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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