Gait Analysis for Recognition and Classification
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Multimodal biometrics: issues in design and testing
Proceedings of the 5th international conference on Multimodal interfaces
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
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Score normalization in multimodal biometric systems
Pattern Recognition
Gait recognition based on fusion of multi-view gait sequences
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
A study on gait-based gender classification
IEEE Transactions on Image Processing
Uncorrelated discriminant simplex analysis for view-invariant gait signal computing
Pattern Recognition Letters
Gender recognition from gait using radon transform and relevant component analysis
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Human attributes from 3D pose tracking
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
A block-based model for monitoring of human activity
Neurocomputing
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
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
Human attributes from 3D pose tracking
Computer Vision and Image Understanding
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
Robust gait recognition via discriminative set matching
Journal of Visual Communication and Image Representation
Hi-index | 0.00 |
In this paper, we present a new method for gender classification based on fusion of multi-view gait sequences. For each silhouette of gait sequences, we first use a simple method to divide the silhouette into 7 (for 90 degree, i.e. fronto-parallel view) or 5 (for 0 and 180 degree, i.e. front view and back view) parts, and then fit ellipses to each of the regions. Next, the features are extracted from each sequence by computing the ellipse parameters. For each view angle, every subject's features are normalized and combined as a feature vector. The combination of feature vector contains enough information to perform well on gender recognition. Sum rule and SVM are applied to fuse the similarity measures from 0°, 90°, and 180°. We carried our experiments on CASIA Gait Database, one of the largest gait databases as we know, and achieved the classification accuracy of 89.5%.