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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.06963 |
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| _version_ | 1866910405133074432 |
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| author | Borghi, Guido Franco, Annalisa Di Domenico, Nicolò Ferrara, Matteo Maltoni, Davide |
| author_facet | Borghi, Guido Franco, Annalisa Di Domenico, Nicolò Ferrara, Matteo Maltoni, Davide |
| contents | 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 time the advantages that the availability of multiple probe frames can bring to the morphing attack detection task, especially in scenarios where the quality of probe images is varied and might be affected, for instance, by pose or illumination variations. Experimental results on a real operational database demonstrate that video sequences represent valuable information for increasing the robustness and performance of morphing attack detection systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_06963 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | V-MAD: Video-based Morphing Attack Detection in Operational Scenarios Borghi, Guido Franco, Annalisa Di Domenico, Nicolò Ferrara, Matteo Maltoni, Davide Computer Vision and Pattern Recognition 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 time the advantages that the availability of multiple probe frames can bring to the morphing attack detection task, especially in scenarios where the quality of probe images is varied and might be affected, for instance, by pose or illumination variations. Experimental results on a real operational database demonstrate that video sequences represent valuable information for increasing the robustness and performance of morphing attack detection systems. |
| title | V-MAD: Video-based Morphing Attack Detection in Operational Scenarios |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2404.06963 |