Visualization of faces from surveillance videos via face hallucination

Makhfoudi, Adam, Al-Maadeed, Somaya, Bouridane, Ahmed, Sexton, Graham and Jiang, Richard (2014) Visualization of faces from surveillance videos via face hallucination. In: Codit'14 - 2nd International Conference on Control, Decision and Information Technologies, 3rd - 5th November 2014, Metz, France.

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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.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Face hallucination; surveillance video; video quality enhancement; data visualisation; face recognition; video surveillance
Subjects:	G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Paul Burns
Date Deposited:	06 Feb 2015 16:08
Last Modified:	13 Oct 2019 00:37
URI:	http://nrl.northumbria.ac.uk/id/eprint/21340

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