Abstract
This paper proposes a means of using facial color to enhance conventional face detectors. To detect face rapidly, the proposed approach adopts a color filtering based efficient region scanning method. The scanning method skips over regions that do not contain candidate faces, based on a facial color membership function. Then it adopts a face/non-face classifier using facial color at the preprocessor of the face detector. This classifier has low computational cost and can reject non-face regions at an early stage of face detection. By integrating the proposed face detector with a kernel based object tracker, a real-time face detection and tracking application is implemented for smart devices. The proposed method considerably reduces the overall computation time and reduces the number of false alarms.
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Acknowledgments
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (2013R1A1A2064233) and the IT R&D program of MKE & KEIT [10041610, The development of the recognition technology for user identity, behavior and location that has a performance approaching recognition rates of 99 % on 30 people by using perception sensor network in the real environment] and the NAP (National Agenda Project) of the Korea Research Council of Fundamental Science & Technology.
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Chae, Y.N., Han, T., Seo, YH. et al. An efficient face detection based on color-filtering and its application to smart devices. Multimed Tools Appl 75, 4867–4886 (2016). https://doi.org/10.1007/s11042-013-1786-0
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DOI: https://doi.org/10.1007/s11042-013-1786-0