عنوان المقالة:دراسة استخدام كاميرات عالية الدقة المحمولة على الجسم للتعرف على الوجه من مسافة بعيدة On using high-definition body worn cameras for face recognition from a distance
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.
تاريخ النشر
08/03/2011
الناشر
Springer
رقم المجلد
6583
رقم العدد
ISSN/ISBN
9783642195297 / 03029743
رابط DOI
https://doi.org/10.1007/978-3-642-19530-3_18
الصفحات
193-204
الكلمات المفتاحية
HD video, Face Recognition, Face Database, Surveillance, Eigenfaces, Fisherfaces, Wavelet Transforms
وسيم ناهي ابراهيم | Wasseem N. Ibrahem Al-Obaydy | 275