[2] [2] WANG L, HU W M, TAN T N. Recent developments in human motion analysis [J]. Pattern Recognition, 2003, 36(3): 585-601.

[5] [5] WANG R B, GUO K Y, SHI S M, et al. A monitoring method of driver fatigue behavior based on machine vision [C]//IEEE IV2003 Intelligent Vehicles Symposium. Columbus: IEEE, 2003: 110-113.

[6] [6] SHIFA A, IMTIAZ M B, ASGHAR M N, et al. Skin detection and lightweight encryption for privacy protection in real-time surveillance applications [J]. Image and Vision Computing, 2020, 94: 103859.

[8] [8] JONES M J, REHG J M. Statistical color models with application to skin detection [J]. International Journal of Computer Vision, 2002, 46(1): 81-96.

[9] [9] LEE J S, KUO Y M, CHUNG P C, et al. Naked image detection based on adaptive and extensible skin color model [J]. Pattern Recognition, 2007, 40(8): 2261-2270.

[11] [11] ZAFARIFAR B, BELLERS E B, DE WITH P H N. Application and evaluation of texture-adaptive skin detection in TV image enhancement [C]//2013 IEEE International Conference on Consumer Electronics. Las Vegas: IEEE, 2013: 88-91.

[12] [12] CHEN H S, WANG T M, CHEN S H, et al. Skin-color correction method based on hue template mapping for wide color gamut liquid crystal display devices [J]. Color Research and Application, 2011, 36(5): 335-348.

[15] [15] NAJI S, JALAB H A, KAREEM S A. A survey on skin detection in colored images [J]. Artificial Intelligence Review, 2019, 52(2): 1041-1087.

[16] [16] SUN H M. Skin detection for single images using dynamic skin color modeling [J]. Pattern Recognition, 2010, 43(4): 1413-1420.

[17] [17] HSU R L, ABDEL-MOTTALEB M, JAIN A K. Face detection in color images [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(5): 696-706.

[18] [18] LUMINI A, NANNI L. Fair comparison of skin detection approaches on publicly available datasets [J]. Expert Systems with Applications, 2020, 160: 113677.

[19] [19] BADRINARAYANAN V, KENDALL A, CIPOLLA R. Segnet: a deep convolutional encoder-decoder architecture for image segmentation [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(12): 2481-2495.

[20] [20] RONNEBERGER O, FISCHER P, BROX T. U-Net: convolutional networks for biomedical image segmentation [C]//18th International Conference on Medical Image Computing and Computer-Assisted Intervention. Cham: Springer, 2015: 234-241.

[21] [21] CHEN L C, ZHU Y K, PAPANDREOU G, et al. Encoder-decoder with atrous separable convolution for semantic image segmentation [C]//Proceedings of the 15th European Conference on Computer Vision. Cham: Springer, 2018: 801-818.

[22] [22] DOURADO A, GUTH F, DE CAMPOS T E, et al. Domain adaptation for holistic skin detection [J]. arXiv preprint arXiv: 1903.06969, 2019.

[23] [23] HE Y, SHI J Y, WANG C, et al. Semi-supervised skin detection by network with mutual guidance [C]//Proceedings of 2019 IEEE/CVF International Conference on Computer Vision. Seoul: IEEE, 2019: 2111-2120.

[24] [24] SCHMUGGE S J, JAYARAM S, SHIN M C, et al. Objective evaluation of approaches of skin detection using ROC analysis [J]. Computer Vision and Image Understanding, 2007, 108(1/2): 41-51.

[25] [25] WIMMER M, RADIG B. Adaptive skin color classificator [C]//Proceedings of the first ICGST International Conference on Graphics Vision and Image Processing GVIP-05. Cairo, Egypt: CICC, 2005, 1: 324-327.

[27] [27] JAYARAM S, SCHMUGGE S, SHIN M C, et al. Effect of colorspace transformation, the illuminance component, and color modeling on skin detection [C]//Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. Washington: IEEE, 2004: 813-818.

[28] [28] GARCIA C, TZIRITAS G. Face detection using quantized skin color regions merging and wavelet packet analysis [J]. IEEE Transactions on Multimedia, 1999, 1(3): 264-277.

[29] [29] CHO K M, JANG J H, HONG K S. Adaptive skin-color filter [J]. Pattern Recognition, 2001, 34(5): 1067-1073.

[30] [30] SORIANO M, MARTINKAUPPI B, HUOVINEN S, et al. Adaptive skin color modeling using the skin locus for selecting training pixels [J]. Pattern Recognition, 2003, 36(3): 681-90.

[31] [31] FOOPRATEEPSIRI R, KURUTACH W. A general framework for face reconstruction using single still image based on 2D-to-3D transformation kernel [J]. Forensic Science International, 2014, 236: 117-126.

[34] [34] PHUNG S L, CHAI D, BOUZERDOUM A. Adaptive skin segmentation in color images [C]//Proceedings of the 2003 International Conference on Multimedia and Expo. Baltimore: IEEE, 2003: III-173.

[41] [41] KHAN R, HANBURY A, STTTINGER J, et al. Multiple color space channel fusion for skin detection [J]. Multimedia Tools and Applications, 2014, 72(2): 1709-1730.

[42] [42] GUPTA A, CHAUDHARY A. Robust skin segmentation using color space switching [J]. Pattern Recognition and Image Analysis, 2016, 26(1): 61-68.

[43] [43] GOMEZ G. On selecting colour components for skin detection [C]//Object Recognition Supported by User Interaction for service robots. Quebec City: IEEE, 2002, 2: 961-964.

[44] [44] BRANCATI N, DE PIETRO G, FRUCCI M, et al. Human skin detection through correlation rules between the YCb and YCr subspaces based on dynamic color clustering [J]. Computer Vision and Image Understanding, 2017, 155: 33-42.

[45] [45] HSIEH C C, LIOU D H, LAI W R. Enhanced face-based adaptive skin color model [J]. Journal of Applied Science and Engineering, 2012, 15(2): 167-176.

[46] [46] YOGARAJAH P, CONDELL J, CURRAN K, et al. A dynamic threshold approach for skin segmentation in color images [C]//2010 IEEE International Conference on Image Processing. Hong Kong: IEEE, 2010: 2225-2228.

[47] [47] TAN W R, CHAN C S, YOGARAJAH P, et al. A fusion approach for efficient human skin detection [J]. IEEE Transactions on Industrial Informatics, 2012, 8(1): 138-147.

[48] [48] FASEL I, FORTENBERRY B, MOVELLAN J. A generative framework for real time object detection and classification [J]. Computer Vision and Image Understanding, 2005, 98(1): 182-210.

[50] [50] LUO Y, GUAN Y P. Adaptive skin detection using face location and facial structure estimation [J]. IET Computer Vision, 2017, 11(7): 550-559.

[51] [51] ZHU Q, CHENG K T, WU C T. A unified adaptive approach to accurate skin detection [C]//2004 International Conference on Image Processing. Singapore: IEEE, 2004: 1189-1192.

[52] [52] MOHANTY R, RAGHUNADH M V. Skin color segmentation based face detection using multi-color space [J]. International Journal of Advanced Research in Computer and Communication Engineering, 2016, 5(5): 470-475.

[53] [53] BIANCO S, GASPARINI F, SCHETTINI R. Adaptive skin classification using face and body detection [J]. IEEE Transactions on Image Processing, 2015, 24(12): 4756-4765.

[54] [54] VIOLA P, JONES M. Rapid object detection using a boosted cascade of simple features [C]//Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Kauai: IEEE, 2001, 1: I.