Visualization of faces from surveillance videos via face hallucination
المؤلف | Makhfoudi A. |
المؤلف | Al-Maadeed, Somaya |
المؤلف | Bouridane A. |
المؤلف | Sexton G. |
المؤلف | Jiang R. |
تاريخ الإتاحة | 2022-05-19T10:23:13Z |
تاريخ النشر | 2014 |
اسم المنشور | Proceedings - 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014 |
المصدر | Scopus |
المعرّف | http://dx.doi.org/10.1109/CoDIT.2014.6996982 |
الملخص | Face hallucination can be a useful tool for visualizing a low quality face into a visually better quality, making it an attractive technology for many applications. While faces in surveillance videos are usually at very low resolution, in this paper, we propose to use face hallucination technology to visualize faces from visual surveillance systems, and develop a weighted scheme to enhance the quality of face visualization from surveillance videos. Our experiment validated that in comparison with the classic eigenspace based face hallucination, our proposed weighted face hallucination strategy can help improve the overall quality of a facial image extracted from surveillance footage. |
اللغة | en |
الناشر | Institute of Electrical and Electronics Engineers Inc. |
الموضوع | Image enhancement Monitoring Visualization Face hallucination Facial images Low qualities Low resolution Overall quality Surveillance video Video quality enhancements Visual surveillance systems Security systems |
النوع | Conference Paper |
الصفحات | 701-705 |
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