G. Antipov, S. Berrani, N. Ruchaud, and J. Dugelay, Learned vs. Hand-Crafted Features for Pedestrian Gender Recognition, Proceedings of the 23rd ACM international conference on Multimedia, MM '15, pp.1263-1266, 2015.
DOI : 10.1145/2733373.2806332

URL : https://hal.archives-ouvertes.fr/hal-01380429

J. Bekios-calfa, J. M. Buenaposada, and L. Baumela, Revisiting Linear Discriminant Techniques in Gender Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.4, pp.858-864, 2011.
DOI : 10.1109/TPAMI.2010.208

J. Bekios-calfa, J. M. Buenaposada, and L. Baumela, Robust gender recognition by exploiting facial attributes dependencies, Pattern Recognition Letters, vol.36, 2013.
DOI : 10.1016/j.patrec.2013.04.028

P. Bilinski, A. Dantcheva, and F. Bremond, Can a Smile Reveal Your Gender?, 2016 International Conference of the Biometrics Special Interest Group (BIOSIG), 2016.
DOI : 10.1109/BIOSIG.2016.7736914

URL : https://hal.archives-ouvertes.fr/hal-01387134

L. Cao, M. Dikmen, Y. Fu, and T. S. Huang, Gender recognition from body, Proceeding of the 16th ACM international conference on Multimedia, MM '08, 2008.
DOI : 10.1145/1459359.1459470

C. Chen, A. Dantcheva, and A. Ross, Impact of facial cosmetics on automatic gender and age estimation algorithms, Proc. of VISAPP, 2014.

M. Collins, J. Zhang, P. Miller, and H. Wang, Full body image feature representations for gender profiling, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, pp.1235-1242, 2009.
DOI : 10.1109/ICCVW.2009.5457467

T. E. Currie and A. C. Little, The relative importance of the face and body in judgments of human physical attractiveness, Evolution and Human Behavior, vol.30, issue.6, pp.409-416, 2009.
DOI : 10.1016/j.evolhumbehav.2009.06.005

A. Dantcheva and F. Bremond, Gender estimation based on smiledynamics, IEEE Trans. on IFS, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01412408

A. Dantcheva, P. Elia, and A. Ross, What Else Does Your Biometric Data Reveal? A Survey on Soft Biometrics, IEEE Transactions on Information Forensics and Security, vol.11, issue.3, pp.441-467, 2016.
DOI : 10.1109/TIFS.2015.2480381

URL : https://hal.archives-ouvertes.fr/hal-01247885

A. Dantcheva, A. Singh, P. Elia, and J. Dugelay, Search pruning in video surveillance systems: Efficiency-reliability tradeoff, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), pp.1356-1363, 2011.
DOI : 10.1109/ICCVW.2011.6130409

A. Dantcheva, C. Velardo, A. Dangelo, and J. Dugelay, Bag of soft biometrics for person identification, Multimedia Tools and Applications, pp.739-777, 2011.
DOI : 10.1007/s11042-010-0635-7

J. Fierrez-aguilar, J. Ortega-garcia, J. Gonzalez-rodriguez, J. Bigun15-]-e, R. Gonzalez-sosa et al., Discriminative multimodal biometric authentication based on quality measures, EURASIP Journal on Image and Video Processing, pp.777-779, 2005.
DOI : 10.1016/j.patcog.2004.11.012

C. M. Goss, Gray's anatomy of the human body, Academic Medicine, vol.35, issue.1, p.90, 1960.

D. Gray, S. Brennan, and H. Tao, Evaluating appearance models for recognition, reacquisition, and tracking, IEEE Proc. of PETS), 2007.

G. Guo, G. Mu, and Y. Fu, Gender from Body: A Biologically-Inspired Approach with Manifold Learning, Computer Vision, pp.236-245, 2010.
DOI : 10.1007/978-3-642-12297-2_23

A. K. Jain, S. C. Dass, and K. Nandakumar, Soft Biometric Traits for Personal Recognition Systems, Biometric Authentication, pp.731-738, 2004.
DOI : 10.1007/978-3-540-25948-0_99

B. F. Klare, M. J. Burge, J. C. Klontz, R. W. Bruegge, and A. K. Jain, Face Recognition Performance: Role of Demographic Information, IEEE Transactions on Information Forensics and Security, vol.7, issue.6, pp.1789-1801, 2012.
DOI : 10.1109/TIFS.2012.2214212

J. C. Klontz, B. F. Klare, S. Klum, A. K. Jain, and M. J. Burge, Open source biometric recognition, 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS), pp.1-8, 2013.
DOI : 10.1109/BTAS.2013.6712754

J. H. Langlois and L. A. Roggman, Attractive Faces Are Only Average, Psychological Science, vol.9, issue.182, pp.115-121, 1990.
DOI : 10.1016/0010-0285(76)90013-X

M. Li, S. Bao, W. Dong, Y. Wang, and Z. Su, Head-shoulder based gender recognition, 2013 IEEE International Conference on Image Processing, pp.2753-2756, 2013.
DOI : 10.1109/ICIP.2013.6738567

X. Li, X. Zhao, Y. Fu, and Y. Liu, Bimodal gender recognition from face and fingerprint, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.2590-2597, 2010.
DOI : 10.1109/CVPR.2010.5539969

T. Linder, S. Wehner, and K. O. Arras, Real-time full-body human gender recognition in (RGB)-D data, 2015 IEEE International Conference on Robotics and Automation (ICRA), pp.3039-3045, 2015.
DOI : 10.1109/ICRA.2015.7139616

E. Mäkinen and R. Raisamo, Evaluation of Gender Classification Methods with Automatically Detected and Aligned Faces, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.3, pp.541-547, 2008.
DOI : 10.1109/TPAMI.2007.70800

E. Mäkinen and R. Raisamo, Evaluation of Gender Classification Methods with Automatically Detected and Aligned Faces, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.3, pp.541-547, 2008.
DOI : 10.1109/TPAMI.2007.70800

A. Nambiar, A. Bernardino, and J. Nascimento, Shape Context for soft biometrics in person re-identification and database retrieval, Pattern Recognition Letters, vol.68, pp.297-305, 2015.
DOI : 10.1016/j.patrec.2015.07.001

C. B. Ng, Y. H. Tay, and B. Goi, Vision-based human gender recognition: A survey, PRICAI Trends in Artificial Intelligence, vol.7458, pp.335-346, 2012.

K. Niinuma, U. Park, and A. K. Jain, Soft Biometric Traits for Continuous User Authentication, IEEE Transactions on Information Forensics and Security, vol.5, issue.4, pp.771-780, 2010.
DOI : 10.1109/TIFS.2010.2075927

M. S. Nixon, P. L. Correia, K. Nasrollahi, T. B. Moeslund, A. Hadid et al., On soft biometrics, Pattern Recognition Letters, vol.68, issue.2, pp.218-230, 2015.
DOI : 10.1016/j.patrec.2015.08.006

M. Oren, C. Papageorgiou, P. Sinha, E. Osuna, and T. Poggio, Pedestrian detection using wavelet templates, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.193-199, 1997.
DOI : 10.1109/CVPR.1997.609319

D. Reid, S. Samangooei, C. Chen, M. Nixon, and A. Ross, Soft biometrics for surveillance: an overview. Machine learning: theory and applications, pp.327-352, 2013.

R. D. Seely, S. Samangooei, M. Lee, J. N. Carter, and M. S. Nixon, The University of Southampton Multi-Biometric Tunnel and introducing a novel 3D gait dataset, 2008 IEEE Second International Conference on Biometrics: Theory, Applications and Systems, pp.1-6, 2008.
DOI : 10.1109/BTAS.2008.4699353

C. Shan, S. Gong, and P. W. Mcowan, Learning gender from human gaits and faces, IEEE Proc. of AVVS, pp.505-510, 2007.

C. Shan, S. Gong, and P. W. Mcowan, Fusing gait and face cues for human gender recognition, Neurocomputing, vol.71, issue.10-12, pp.711931-1938, 2008.
DOI : 10.1016/j.neucom.2007.09.023

V. Sorokin and I. Makarov, Gender recognition from vocal source, Acoustical Physics, vol.54, issue.4, pp.571-578, 2008.
DOI : 10.1134/S1063771008040192

M. Toews and T. Arbel, Detection, Localization, and Sex Classification of Faces from Arbitrary Viewpoints and under Occlusion, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.9, p.3115671781, 2009.
DOI : 10.1109/TPAMI.2008.233

P. Tome, J. Fierrez, R. Vera-rodriguez, and M. S. Nixon, Soft Biometrics and Their Application in Person Recognition at a Distance, IEEE Transactions on Information Forensics and Security, vol.9, issue.3, pp.464-475, 2014.
DOI : 10.1109/TIFS.2014.2299975

J. Wang, J. Li, W. Yau, and E. Sung, Boosting dense SIFT descriptors and shape contexts of face images for gender recognition, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Workshops, p.96172, 2010.
DOI : 10.1109/CVPRW.2010.5543238

D. Zhang and Y. Wang, Gender recognition based on fusion on face and gait information, 2008 International Conference on Machine Learning and Cybernetics, pp.62-67, 2008.
DOI : 10.1109/ICMLC.2008.4620379