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.

翻译：针对人脸变形攻击威胁日益严峻的现状，本文首次探索了基于视频的变形攻击检测（Video-based Morphing Attack Detection, V-MAD）系统在实际操作场景中的应用潜力。当前变形攻击检测方法主要聚焦于单张或成对图像，而V-MAD系统基于视频序列，充分利用了面部验证工具（例如机场闸机）采集的视频流。本研究首次证明，多探针帧的可用性能够为变形攻击检测任务带来显著优势，尤其在探针图像质量参差不齐、可能受姿态或光照变化影响的场景中。基于真实操作数据库的实验结果表明，视频序列作为提升变形攻击检测系统鲁棒性和性能的关键信息具有重要价值。