Statistical Gait Description via Temporal Moments
SSIAI '00 Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and Interpretation
The Gait Identification Challenge Problem: Data Sets and Baseline Algorithm
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
A New Attempt to Gait-based Human Identification
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Gait-Based Recognition of Humans Using Continuous HMMs
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
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)
Gait shape estimation for identification
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Individual Recognition Using Gait Energy Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improved Gait Recognition by Gait Dynamics Normalization
IEEE Transactions on Pattern Analysis and Machine Intelligence
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast communication: Gait recognition based on dynamic region analysis
Signal Processing
Extraction and temporal segmentation of multiple motion trajectories in human motion
Image and Vision Computing
Performing Content-Based Retrieval of Humans Using Gait Biometrics
SAMT '08 Proceedings of the 3rd International Conference on Semantic and Digital Media Technologies: Semantic Multimedia
Factorial HMM and parallel HMM for gait recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Infrared gait recognition based on wavelet transform and support vector machine
Pattern Recognition
Gait recognition using Hough transform and principal component analysis
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Modelling the effect of view angle variation on appearance-based gait recognition
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Matching gait image sequences in the frequency domain for tracking people at a distance
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Mixture of gaussian processes for combining multiple modalities
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Towards scalable view-invariant gait recognition: multilinear analysis for gait
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Gait recognition by combining classifiers based on environmental contexts
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Human recognition at a distance in video by integrating face profile and gait
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Discriminative actions for recognising events
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Walker recognition without gait cycle estimation
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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This paper presents a novel approach for human recognition by combining statistical gait features from real and synthetic templates. Real templates are directly computed from training silhouette sequences, while synthetic templates are generated from training sequences by simulating silhouette distortion. A statistical feature extraction approach is used for learning effective features from real and synthetic templates. Features learned from real templates characterize human walking properties provided in training sequences, and features learned from synthetic templates predict gait properties under other conditions. A feature fusion strategy is therefore applied at the decision level to improve recognition performance. We apply the proposed approach to USF HumanID Database. Experimental results demonstrate that the proposed fusion approach not only achieves better performance than individual approaches, but also provides large improvement in performance with respect to the baseline algorithm.