On Using High-Definition Body Worn Cameras for Face Recognition from a Distance
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- Al-Obaydy W., Sellahewa H. (2011) On Using High-Definition Body Worn Cameras for Face Recognition from a Distance. In: Vielhauer C., Dittmann J., Drygajlo A., Juul N.C., Fairhurst M.C. (eds) Biometrics and ID Management. BioID 2011. Lecture Notes in Computer Science, vol 6583. Springer, Berlin, Heidelberg
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.
KeywordsHD video Face Recognition Face Database Surveillance Eigenfaces Fisherfaces Wavelet Transforms
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