Al-Obaydy, Wasseem and Sellahewa, Harin (2011) On Using High-Definition Body Worn Cameras for Face Recognition from a Distance. Lecture Notes in Computer Science, 6583. pp. 193-204. ISSN 0302-9743
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Abstract
Recognition of human faces from a distance is highly desirable for law-enforcement. This paper evaluates the use of low-cost, high-definition (HD) body worn video cameras for face recognition from a distance. A comparison of HD vs. Standard-definition (SD) video for face recognition from a distance is presented. HD and SD videos of 20 subjects were acquired in different conditions and at varying distances. The evaluation uses three benchmark algorithms: Eigenfaces, Fisherfaces and Wavelet Transforms. The study indicates when gallery and probe images consist of faces captured from a distance, HD video result in better recognition accuracy, compared to SD video. This scenario resembles real-life conditions of video surveillance and law-enforcement activities. However, at a close range, face data obtained from SD video result in similar, if not better recognition accuracy than using HD face data of the same range.
| Item Type: | Article |
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| Uncontrolled Keywords: | High definition video recording; Human face recognition (Computer science); Wavelets (Mathematics) |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | School of Computing |
| Depositing User: | Harin Sellahewa |
| Date Deposited: | 24 Jul 2015 13:36 |
| Last Modified: | 24 Jul 2015 13:36 |
| URI: | http://bear.buckingham.ac.uk/id/eprint/36 |
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