Intended human object detection for automatically protecting privacy in mobile video surveillance
Intended human object detection for automatically protecting privacy in mobile video surveillance
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DOI：
10.1007/s00530-011-0244-y
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发表时间：
2012-03
影响因子：
3.9
通讯作者：
Yuta Nakashima;N. Babaguchi;Jianping Fan
中科院分区：
文献类型：
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作者：
Yuta Nakashima;N. Babaguchi;Jianping Fan
随着近来包括照相手机的移动的摄像机的普及，已经出现了一种新技术，即使用移动的摄像机进行视频监控的移动的视频监控。然而，此类视频可能通过披露隐私敏感信息（PSI）而侵犯他人的隐私，即，他们的外表。为了防止视频侵犯隐私权，需要自动隐藏PSI区域的新技术。问题是如何确定要被遮蔽的PSI区域，同时保持足够的视频内容以呈现摄像机人员的捕捉意图，即，他们想在视频中记录什么来完成监视任务。为此，我们引入了一个新的概念，称为有意的人类对象，被定义为人类对象必不可少的捕捉意图，并开发了一种新的方法，称为有意的人类对象检测，自动检测的有意的人类对象在视频拍摄的不同的摄像机的人。通过有意的人类对象检测的过程中，我们开发了一个系统，用于自动模糊PSI区域。我们的实验表明，预期的人体目标检测的性能和所使用的功能的贡献。我们的用户研究表明，我们提出的系统的潜在适用性。
With the recent popularization of mobile video cameras including camera phones, a new technology, mobile video surveillance, which uses mobile video cameras for video surveillance has been emerging. Such videos, however, may infringe upon the privacy of others by disclosing privacy sensitive information (PSI), i.e., their appearances. To prevent videos from infringing on the right to privacy, new techniques are required that automatically obscure PSI regions. The problem is how to determine the PSI regions to be obscured while maintaining enough video content to present the camera persons’ capture-intentions, i.e., what they want to record in their videos to achieve their surveillance tasks. To this end, we introduce a new concept calledintended human objectsthat are defined as human objects essential for capture-intentions, and develop a new method calledintended human object detectionthat automatically detects the intended human objects in videos taken by different camera persons. Through the process of intended human object detection, we develop a system for automatically obscuring PSI regions. We experimentally show the performance of intended human object detection and the contributions of the features used. Our user study shows the potential applicability of our proposed system.