Browse > Article
http://dx.doi.org/10.5392/JKCA.2017.17.01.137

Face Detection Algorithm using Kinect-based Skin Color and Depth Information for Multiple Faces Detection  

Yun, Young-Ji (경북대학교 전자공학부)
Chien, Sung-Il (경북대학교 전자공학부)
Publication Information
The Journal of the Korea Contents Association / v.17, no.1, 2017 , pp. 137-144 More about this Journal
Abstract
Face detection is still a challenging task under severe face pose variations in complex background. This paper proposes an effective algorithm which can detect single or multiple faces based on skin color detection and depth information. We introduce Gaussian mixture model(GMM) for skin color detection in a color image. The depth information is from three dimensional depth sensor of Kinect V2 device, and is useful in segmenting a human body from the background. Then, a labeling process successfully removes non-face region using several features. Experimental results show that the proposed face detection algorithm can provide robust detection performance even under variable conditions and complex background.
Keywords
Face Detection; Depth Information; Skin Color; Segmentation; Kinect;
Citations & Related Records
연도 인용수 순위
  • Reference
1 K. V. Arya and A. Adarsh, "An Efficient Face Detection and Recognition Method for Surveillance," In Proceedings of the International Conference on Computational Intelligence and Communication Networks, 2015.
2 F. Comaschi, S. Stuijk, T. Basten, and H. Corporaal, "Robust online face tracking-by-detection," In Proceedings of the IEEE International Conference on Multimedia and Expo, 2016.
3 F. Dornaika and F. Davoine, "Simultaneous Facial Action Tracking and Expression Recognition in the Presence of Head Motion," J. of Computer Vision, Vol.76, No.3, pp.257-281, 2008.   DOI
4 P. Viola and B. J. Jones, "Robust Real-Time Face Detection," J. of Computer Vision, Vol.57, No.2, pp.137-154, 2004.   DOI
5 K. Sandeep and A. Rajagopalan, "Human Face Detection in Cluttered Color Images using Skin Color and Edge Information," In Proceedings of the India Conference on Computer Vision, Graphic, and Image Processing, 2002.
6 R. Mohanty and M. V. Raghunadh, "Skin Color Segmentation based Face Detection using Multi-Color Space," J. of Advanced Research in Computer and Communcation Enginerring, Vol.5, Issue.5, pp.470-475, 2016.
7 D. Xu, Y. L. Chen, X. Wu, Y. Ou, and Y. Xu, Integrated Approach of Skin-color Detection and Depth Information for Hand and Face Localization," In Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2011.
8 J. Paduano, M. Romero, and R. M. Valdovinos, "Face Detection in 3D Images with More Than One Person," In Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition, 2016.
9 https://msdn.microsoft.com/en-us/library/microsoft.kinect.face.aspx.
10 A. Cheddad, J. Condell, K. Curran, and P. M. Kevitt, "A Skin Tone Detection Algorithm for An Adaptive Approach To Steganography," J. of Signal Processing, Vol.89, No.1, pp.2465-2478, 2009.   DOI
11 C. Poynton, Digital Video and HDTV : Algorithms and Interface, Morgan Kaufmann, 2003.
12 R. C. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, John Wiley & Sons, 2001.
13 V. D. My, A. Masselli, and Z. Zell, "Real Time Face Detection using Geometric Constraints, Navigation and Depth-based Skin Segmentation on Mobile Robots," In Proceedings of the IEEE International Symposium on Robotic and Sensors Environments, 2012.
14 http://docs.opencv.org/trunk/d7/d8b/tutorial_py _face_detection.html