Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Visualization of faces from surveillance videos via face hallucination
AU - Makhfoudi, Adam
AU - Al-Maadeed, Somaya
AU - Bouridane, Ahmed
AU - Sexton, Graham
AU - Jiang, Richard
PY - 2014/11
Y1 - 2014/11
N2 - 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.
AB - 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.
U2 - 10.1109/CoDIT.2014.6996982
DO - 10.1109/CoDIT.2014.6996982
M3 - Conference contribution/Paper
SP - 701
EP - 705
BT - 2014 International Conference on Control, Decision and Information Technologies (CoDIT)
PB - IEEE
T2 - 2014 International Conference on Control, Decision and Information Technologies
Y2 - 3 November 2014 through 5 November 2014
ER -