Anonymization of Human Gait in Video Based on Silhouette Deformation and Texture Transfer
Anonymization of Human Gait in Video Based on Silhouette Deformation and Texture Transfer
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DOI：
10.1109/tifs.2022.3206422
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发表时间：
2022-01-01
影响因子：
6.8
通讯作者：
Babaguchi, Noboru
中科院分区：
文献类型：
--
作者：
Hirose, Yuki;Nakamura, Kazuaki;Babaguchi, Noboru
如今，许多视频被上传到YouTube等基于网络的视频分享服务上。这些视频可以从世界各地免费访问。另一方面，它们往往含有行走的私人的外表，这可以通过近年来迅速发展的基于轮廓的步态识别技术来识别。这导致了一个严重的隐私问题。为了避免这一问题，本文提出了一种在视频中隐藏行走的人的外表，即人类步态的方法。在该方法中，我们首先从输入视频的所有帧中裁剪人体区域，并对它们进行二值化以获得它们的轮廓。接下来，我们从静态体形和动态行走节奏两个方面对轮廓进行了轻微的变形，使得输入视频中的人不能通过步态识别技术正确识别。之后，原始人体区域的纹理被转移到变形的轮廓上。我们通过基于位移场的方法来实现这一点，该方法无需训练，因此对各种衣服都具有健壮性。最后，将带有传输纹理的匿名人体区域重新填充到输入视频中。在实验结果中，我们成功地将基于CNN的步态识别系统的准确率从100%降低到1.57%，在最低情况下，没有造成人体区域外观的严重失真，这证明了该方法的有效性。
These days, a lot of videos are uploaded onto web-based video sharing services such as YouTube. These videos can be freely accessed from all over the world. On the other hand, they often contain the appearance of walking private people, which could be identified by silhouette-based gait recognition techniques rapidly developed in recent years. This causes a serious privacy issue. To avoid it, this paper proposes a method for anonymizing the appearance of walking people, namely human gait, in video. In the proposed method, we first crop human regions from all frames in an input video and binarize them to get their silhouettes. Next, we slightly deform the silhouettes from the aspects of static body shape and dynamic walking rhythm so that the person in the input video cannot be correctly identified by gait recognition techniques. After that, the textures of the original human regions are transferred onto the deformed silhouettes. We achieve this by a displacement field-based approach, which is training-free and thus robust to a variety of clothes. Finally, the anonymized human regions with the transferred textures are filled back into the input video. In the results of our experiments, we successfully degraded the accuracy of CNN-based gait recognition systems from 100% to 1.57% in the lowest case without yielding serious distortion in the appearance of the human regions, which demonstrated the effectiveness of the proposed method.