SexNet: A neural network identifies sex from human faces
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
The Recognition of Human Movement Using Temporal Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Gender with Support Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gait Analysis for Recognition and Classification
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Silhouette Analysis-Based Gait Recognition for Human Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gender Recognition from Walking Movements using Adaptive Three-Mode PCA
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 1 - Volume 01
The HumanID Gait Challenge Problem: Data Sets, Performance, and Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gait Analysis for Human Identification in Frequency Domain
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Individual Recognition Using Gait Energy Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cascaded Classification of Gender and Facial Expression using Active Appearance Models
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Gender identification using a general audio classifier
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Virtual shapers & movers: form and motion affect sex perception
Proceedings of the 4th symposium on Applied perception in graphics and visualization
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fusing gait and face cues for human gender recognition
Neurocomputing
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Gender classification based on fusion of multi-view gait sequences
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Integrating independent components and linear discriminant analysis for gender classification
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Global texture analysis of iris images for ethnic classification
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Gender classification in human gait using support vector machine
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
ASB'03 Proceedings of the 1st international conference on Advanced Studies in Biometrics
Gait Components and Their Application to Gender Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Fusion of static and dynamic body biometrics for gait recognition
IEEE Transactions on Circuits and Systems for Video Technology
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Human action recognition using ordinal measure of accumulated motion
EURASIP Journal on Advances in Signal Processing - Special issue on video analysis for human behavior understanding
Vs-star: A visual interpretation system for visual surveillance
Pattern Recognition Letters
Gait flow image: A silhouette-based gait representation for human identification
Pattern Recognition
Gait analysis of gender and age using a large-scale multi-view gait database
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Human recognition based on gait poses
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Gender classification using a novel gait template: radon transform of mean gait energy image
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
A survey of advances in biometric gait recognition
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
Human identification and gender recognition from boxing
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
Pattern Recognition Letters
Robust gait recognition using gait energy image and band-limited phase-only correlation
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
Depth information in human gait analysis: an experimental study on gender recognition
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
Recognizing human gender in computer vision: a survey
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Gender classification from pose-based GEIs
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Real-time gender recognition based on 3D human body shape for human-robot interaction
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
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Gender is an important cue in social activities. In this correspondence, we present a study and analysis of gender classification based on human gait. Psychological experiments were carried out. These experiments showed that humans can recognize gender based on gait information, and that contributions of different body components vary. The prior knowledge extracted from the psychological experiments can be combined with an automatic method to further improve classification accuracy. The proposed method which combines human knowledge achieves higher performance than some other methods, and is even more accurate than human observers. We also present a numerical analysis of the contributions of different human components, which shows that head and hair, back, chest and thigh are more discriminative than other components. We also did challenging cross-race experiments that used Asian gait data to classify the gender of Europeans, and vice versa. Encouraging results were obtained. All the above prove that gait-based gender classification is feasible in controlled environments. In real applications, it still suffers from many difficulties, such as view variation, clothing and shoes changes, or carrying objects. We analyze the difficulties and suggest some possible solutions.