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Visualization of faces from surveillance videos via face hallucination

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Visualization of faces from surveillance videos via face hallucination. / Makhfoudi, Adam; Al-Maadeed, Somaya; Bouridane, Ahmed; Sexton, Graham; Jiang, Richard.

2014 International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2014. p. 701-705.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Makhfoudi, A, Al-Maadeed, S, Bouridane, A, Sexton, G & Jiang, R 2014, Visualization of faces from surveillance videos via face hallucination. in 2014 International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, pp. 701-705, 2014 International Conference on Control, Decision and Information Technologies, Metz, France, 3/11/14. https://doi.org/10.1109/CoDIT.2014.6996982

APA

Makhfoudi, A., Al-Maadeed, S., Bouridane, A., Sexton, G., & Jiang, R. (2014). Visualization of faces from surveillance videos via face hallucination. In 2014 International Conference on Control, Decision and Information Technologies (CoDIT) (pp. 701-705). IEEE. https://doi.org/10.1109/CoDIT.2014.6996982

Vancouver

Makhfoudi A, Al-Maadeed S, Bouridane A, Sexton G, Jiang R. Visualization of faces from surveillance videos via face hallucination. In 2014 International Conference on Control, Decision and Information Technologies (CoDIT). IEEE. 2014. p. 701-705 https://doi.org/10.1109/CoDIT.2014.6996982

Author

Makhfoudi, Adam ; Al-Maadeed, Somaya ; Bouridane, Ahmed ; Sexton, Graham ; Jiang, Richard. / Visualization of faces from surveillance videos via face hallucination. 2014 International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2014. pp. 701-705

Bibtex

@inproceedings{7d741d84002046ff998dcf7fb0784cb9,
title = "Visualization of faces from surveillance videos via face hallucination",
abstract = "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.",
author = "Adam Makhfoudi and Somaya Al-Maadeed and Ahmed Bouridane and Graham Sexton and Richard Jiang",
year = "2014",
month = nov,
doi = "10.1109/CoDIT.2014.6996982",
language = "English",
pages = "701--705",
booktitle = "2014 International Conference on Control, Decision and Information Technologies (CoDIT)",
publisher = "IEEE",
note = "2014 International Conference on Control, Decision and Information Technologies, (CoDIT ; Conference date: 03-11-2014 Through 05-11-2014",

}

RIS

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 -