标题: | 利用多重亮度红外线打光器之夜间人脸辨识 Nighttime Face Detection Using Multi-Intensity IR Illuminator |
作者: | 姚柏安 庄仁辉 多媒体工程研究所 |
关键字: | 夜间;人脸辨识;多重亮度打光器;nighttime;Face Detection;Multi-Intensity IR Illuminator |
公开日期: | 2011 |
摘要: | 在目前一般夜间监控的环境下,常常因光源的不足,无法取得较远之清晰人物;另一方面,在光源充足的情况下,也可能因人物离摄影机过近,造成人物过曝的情形,以致于无法辨识其面貌五官。对此,我们使用周期性改变光源强度之多重亮度红外线打光器,来辅助夜视摄影,以得到多种亮度影像,并对此新式夜视影像做分析,以期同时达到远处人物侦测正确与近处人物清晰辨识之目的。由于透过多重亮度打光器会产生不同亮度的人脸,我们提出亮度侦测方法以分辨出高品质的人脸影像,实验结果显示,在不同的距离下,我们可以侦测并挑选出好的人脸影像。 In nighttime video surveillance, the image details of far objects are often hard to be identified due to poor illumination conditions while the image regions of near objects may be whitened due to overexposure. To alleviate the two problems simultaneously for nighttime video surveillance, we adopt a new multi-intensity infrared illuminator as a supportive light source to provide multiple illumination levels periodically. By using the illuminator with multiple degrees of illumination power, both far and near objects can be clearly captured. In this thesis, an effective algorithm is developed to pick out high quality human faces from nighttime video sequences. Experiment results show that well exposed face images can be automatically detected and selected for people located at various distances from the camera. |
URI: | http://140.113.39.130/cdrfb3/record/nctu/#GT079957548 http://hdl.handle.net/11536/50611 |
显示于类别: | Thesis |
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