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V-MAD: Video-based Morphing Attack Detection in Operational Scenarios
April 11, 2024, 4:45 a.m. | Guido Borghi, Annalisa Franco, Nicol\`o Di Domenico, Matteo Ferrara, Davide Maltoni
cs.CV updates on arXiv.org arxiv.org
Abstract: In response to the rising threat of the face morphing attack, this paper introduces and explores the potential of Video-based Morphing Attack Detection (V-MAD) systems in real-world operational scenarios. While current morphing attack detection methods primarily focus on a single or a pair of images, V-MAD is based on video sequences, exploiting the video streams often acquired by face verification tools available, for instance, at airport gates. Through this study, we show for the first …
abstract arxiv cs.cv current detection detection methods face focus images paper systems threat type video world
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