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首页> 外文会议>Conference on Mobile Multimedia/Image Processing, Security, and Applications >Can we ID from CCTV: image quality in digital CCTV and faceidentification performance
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Can we ID from CCTV: image quality in digital CCTV and faceidentification performance

机译：我们可以从中央电视台ID：数字中央电视台的图像质量和面对识别性能

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摘要

CCTV is used for an increasing number of purposes, and the new generation of digital systems can be tailored to serve awide range of security requirements. However, configuration decisions are often made without considering specific taskrequirements, e.g. the video quality needed for reliable person identification. Our study investigated the relationshipbetween video quality and the ability of untrained viewers to identify faces from digital CCTV images. The taskrequired 80 participants to identify 64 faces belonging to 4 different ethnicities. Participants compared face images takenfrom a high quality photographs and low quality CCTV stills, which were recorded at 4 different video quality bit rates(32, 52, 72 and 92 Kbps). We found that the number of correct identifications decreased by 12 (~18%) as MPEG-4quality decreased from 92 to 32 Kbps, and by 4 (-6%) as Wavelet video quality decreased from 92 to 32 Kbps. Toachieve reliable and effective face identification, we recommend that MPEG-4 CCTV systems should be used overWavelet, and video quality should not be lowered below 52 Kbps during video compression. We discuss the practicalimplications of these results for security, and contribute a contextual methodology for assessing CCTV video quality.
机译：CCTV用于越来越多的目的，并且可以根据需要量身定制的新一代数字系统以令人醒来的安全要求。但是，通常在不考虑特定的TaskRequirements的情况下进行配置决策，例如，可靠的人识别所需的视频质量。我们的研究调查了视频质量的关系和未经训练观众识别数字CCTV图像的面孔的能力。 TaskRequired 80名参与者识别属于4种不同种族的64个面孔。参与者比较了面部图像的高质量照片和低质量的CCTV剧照，其被记录为4个不同的视频质量比特率（32,52,72和92 kbps）。我们发现，作为MPEG-14质量的正确识别数量减少了12（〜18％），减少了92至32 kbps，并且由于小波视频质量从92 kbps降低了4（-6％）。传奇可靠且有效的面部识别，我们建议使用MPEG-4 CCTV系统在视频压缩期间不应降低52 kbps的视频质量。我们讨论这些结果的实用性，以便安全，并为评估CCTV视频质量提供语境方法。

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