Browse > Article
http://dx.doi.org/10.9717/kmms.2013.16.8.927

Face Detection Algorithm Using Color Distribution Matching  

Kwon, Seong-Geun (경일대학교 전자공학과)
Publication Information
Journal of Korea Multimedia Society / v.16, no.8, 2013 , pp. 927-933 More about this Journal
Abstract
Face detection algorithm of OpenCV recognizes the faces by Haar matching between input image and Haar features which are learned through a set of training images consisting of many front faces. Therefore the face detection method by Haar matching yields a high face detection rate for the front faces but not in the case of the pan and deformed faces. On the assumption that distributional characteristics of color histogram is similar even if deformed or side faces, a face detection method using the histogram pattern matching is proposed in this paper. In the case of the missed detection and false detection caused by Haar matching, the proposed face detection algorithm applies the histogram pattern matching with the correct detected face area of the previous frame so that the face region with the most similar histogram distribution is determined. The experiment for evaluating the face detection performance reveals that the face detection rate was enhanced about 8% than the conventional method.
Keywords
Face Detection; Color distribution matching; Haar matching;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 한동일, 실시간 얼굴 검출 기술 연구 동향, IDEC Newsletter. pp. 8-13, 2011.
2 Y.B. Lee and S.H. Lee, "Robust Face Detection Based on Knowledge-Directed Specification of Botton-Up Saliency," Journal of ETRI , Vol. 33, No. 4, pp. 600-610, Aug. 2011.   DOI   ScienceOn
3 K. Kollreider, H. Fronthaler, and J. Bigun, "Real-Time Face Detection Using Illumination Invariant Features," Scandinavian Conference on Image Analysis, pp. 41-50, 2007.
4 A. Goshtasby, S.H. Gage, and J.F. Bartholic, "A Two-Stage Cross Correlation Approach to Template Matching," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 6, No. 3, pp. 374-378, 1984.
5 H. Rowley, S. Baluja, and T. Kanade, "Neural Network-Based Face Detection," IEEE Trans. on Pattern Recognition and Machine Intelligence , Vol. 20, No. 1, pp. 23-38, 1998.   DOI   ScienceOn
6 G.R. Bradski and A. Kaehler, Learning OpenCV, O'REILLY, Sebastopol CA, 2008.
7 J. Ko, J. Ahn, I. Lee, and S. Kim, "A Histogram-based Object Tracking for Mobile Tracking," J ournal of KMMS, Vol. 15, No. 8, pp. 986-995, Aug. 2012.   과학기술학회마을   DOI   ScienceOn
8 김진호, "얼굴인식 기술의 상용화 동향," CCTV저널, pp. 62-67, 2013.