5 March 2014 Real-time detection of small faces in HD video
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Abstract
In this paper, we propose a novel approach for real-time face detection in HD videos. The major goal is to detect small faces at a distance for HD videos as well as to preserve low false-alarm rate. The proposed method firstly fast scan face candidates in the down-sampled chrominance channels by using skin color features. Given the candidates, we precisely filter true facial objects from the candidates which location and size are subjected to be mapped into the original luminance channel by using the binary texture features. In our experiment, we showed that the proposed face detection method archived about 20ms/frame in HD videos. It means that the proposed method would be more than 30 times faster than the baseline Viola-Jones one in processing time for 720P-sized video. The gain of processing time will be higher for larger-sized video such as 1080P. And we also see that the false-alarm rate was extremely reduced as about 1/20 of the baseline approach.
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Seungji Yang, Seungji Yang, Kyunghoon Bae, Kyunghoon Bae, } "Real-time detection of small faces in HD video", Proc. SPIE 9026, Video Surveillance and Transportation Imaging Applications 2014, 90260D (5 March 2014); doi: 10.1117/12.2042222; https://doi.org/10.1117/12.2042222
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