Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Using Temporal Image Sequence
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Comparative Evaluation of Face Sequence Matching for Content-Based Video Access
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Silhouette-Based Human Identification from Body Shape and Gait
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
The HumanID Gait Challenge Problem: Data Sets, Performance, and Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Graph Embedding: A General Framework for Dimensionality Reduction
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Individual Recognition Using Gait Energy Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D Gait Recognition Using Multiple Cameras
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Improved Gait Recognition by Gait Dynamics Normalization
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gait recognition for human identification based on ICA and fuzzy SVM through multiple views fusion
Pattern Recognition Letters
Neighbourhood preserving discriminant embedding in face recognition
Journal of Visual Communication and Image Representation
Uncorrelated discriminant simplex analysis for view-invariant gait signal computing
Pattern Recognition Letters
Gait identification based on multi-view observations using omnidirectional camera
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Gender classification based on fusion of multi-view gait sequences
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Gait recognition without subject cooperation
Pattern Recognition Letters
Robust Gait Recognition Against Speed Variation
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Kernel Discriminant Embedding in face recognition
Journal of Visual Communication and Image Representation
Gait recognition based on fusion of multi-view gait sequences
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Face recognition with the multiple constrained mutual subspace method
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Video-Based face recognition using earth mover's distance
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Set-to-set gait recognition across varying views and walking conditions
ICME '11 Proceedings of the 2011 IEEE International Conference on Multimedia and Expo
A view of three decades of linear filtering theory
IEEE Transactions on Information Theory
Efficient and robust feature extraction by maximum margin criterion
IEEE Transactions on Neural Networks
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In this paper, we propose a framework for gait recognition across varying views and walking conditions based on gait sequences collected from multiple viewpoints. Different from most existing view-dependent gait recognition systems, we devise a new Multiview Subspace Representation (MSR) method which considers gait sequences collected from different views of the same subject as a feature set and extracts a linear subspace to describe the feature set. Subspace-based feature representation methods measure the variances among samples, and can handle certain intra-subject variations. To better exploit the discriminative information from these subspaces for recognition, we further propose a marginal canonical correlation analysis (MCCA) method which maximizes the margins of interclass subspaces within a neighborhood. Experimental results on a widely used multiview gait database are presented to demonstrate the effectiveness of the proposed framework.