Low Resolution Face Recognition in Surveillance Systems
In surveillance systems, the captured facial images are often very small and different from the low-resolution images down-sampled from high-resolution facial images. They generally lead to low performance in face recog-nition. In this paper, we study specific scenarios of face recognition with surv...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Scientific Research Publishing, Inc.
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/4636 |
| _version_ | 1848744571974975488 |
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| author | Xu, Xiang Liu, Wan-Quan Li, Ling |
| author_facet | Xu, Xiang Liu, Wan-Quan Li, Ling |
| author_sort | Xu, Xiang |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In surveillance systems, the captured facial images are often very small and different from the low-resolution images down-sampled from high-resolution facial images. They generally lead to low performance in face recog-nition. In this paper, we study specific scenarios of face recognition with surveillance cameras. Three important factors that influence face recognition performance are investigated: type of cameras, distance between the ob-ject and camera, and the resolution of the captured face images. Each factor is numerically investigated and analyzed in this paper. Based on these observations, a new approach is proposed for face recognition in real sur-veillance environment. For a raw video sequence captured by a surveillance camera, image pre-processing tech-niques are employed to remove the illumination variations for the enhancement of image quality. The face im-ages are further improved through a novel face image super-resolution method. The proposed approach is proven to significantly improve the performance of face recognition as demonstrated by experiments. |
| first_indexed | 2025-11-14T06:03:35Z |
| format | Journal Article |
| id | curtin-20.500.11937-4636 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:03:35Z |
| publishDate | 2014 |
| publisher | Scientific Research Publishing, Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-46362017-09-13T15:53:53Z Low Resolution Face Recognition in Surveillance Systems Xu, Xiang Liu, Wan-Quan Li, Ling Surveillance Camera Face Recognition Very Low Resolution In surveillance systems, the captured facial images are often very small and different from the low-resolution images down-sampled from high-resolution facial images. They generally lead to low performance in face recog-nition. In this paper, we study specific scenarios of face recognition with surveillance cameras. Three important factors that influence face recognition performance are investigated: type of cameras, distance between the ob-ject and camera, and the resolution of the captured face images. Each factor is numerically investigated and analyzed in this paper. Based on these observations, a new approach is proposed for face recognition in real sur-veillance environment. For a raw video sequence captured by a surveillance camera, image pre-processing tech-niques are employed to remove the illumination variations for the enhancement of image quality. The face im-ages are further improved through a novel face image super-resolution method. The proposed approach is proven to significantly improve the performance of face recognition as demonstrated by experiments. 2014 Journal Article http://hdl.handle.net/20.500.11937/4636 10.4236/jcc.2014.22013 Scientific Research Publishing, Inc. fulltext |
| spellingShingle | Surveillance Camera Face Recognition Very Low Resolution Xu, Xiang Liu, Wan-Quan Li, Ling Low Resolution Face Recognition in Surveillance Systems |
| title | Low Resolution Face Recognition in Surveillance Systems |
| title_full | Low Resolution Face Recognition in Surveillance Systems |
| title_fullStr | Low Resolution Face Recognition in Surveillance Systems |
| title_full_unstemmed | Low Resolution Face Recognition in Surveillance Systems |
| title_short | Low Resolution Face Recognition in Surveillance Systems |
| title_sort | low resolution face recognition in surveillance systems |
| topic | Surveillance Camera Face Recognition Very Low Resolution |
| url | http://hdl.handle.net/20.500.11937/4636 |