Fundamentals of speech recognition
Fundamentals of speech recognition
Gait Analysis for Recognition and Classification
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
The HumanID Gait Challenge Problem: Data Sets, Performance, and Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scaling and time warping in time series querying
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Improved Gait Recognition by Gait Dynamics Normalization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Human gait recognition at sagittal plane
Image and Vision Computing
International Journal of Electronic Security and Digital Forensics
A full-body layered deformable model for automatic model-based gait recognition
EURASIP Journal on Advances in Signal Processing
Scaling and time warping in time series querying
The VLDB Journal — The International Journal on Very Large Data Bases
Human identification by gait analysis
Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments
Frontal-view gait recognition by intra- and inter-frame rectangle size distribution
Pattern Recognition Letters
Determination of Gender and Age Based on Pattern of Human Motion Using AdaBoost Algorithms
Proceedings of the FIRA RoboWorld Congress 2009 on Advances in Robotics
A channel coding approach for human authentication from gait sequences
IEEE Transactions on Information Forensics and Security
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
Enhanced gait recognition based on weighted dynamic feature
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Self-calibrating view-invariant gait biometrics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Model-based human gait recognition using leg and arm movements
Engineering Applications of Artificial Intelligence
Modelling the effects of walking speed on appearance-based gait recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
On automated model-based extraction and analysis of gait
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Amplitude spectrum-based gait recognition
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Advances in automatic gait recognition
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Human gait recognition using extraction and fusion of global motion features
Multimedia Tools and Applications
Appearance-Based gait recognition using independent component analysis
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
A new combinatorial approach to supervised learning: application to gait recognition
AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures
Gait identification using shadow biometrics
Pattern Recognition Letters
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Human gait is an attractive modality for recognizing people at a distance. In this paper we adopt an appearance-based approach to the problem of gait recognition. The width of the outer contour of the binarized silhouette of a walking person is chosen as the basic image feature. Different gait features are extracted from the width vector such as the dowsampled, smoothed width vectors, the velocity profile etc. and sequences of such temporally ordered feature vectors are used for representing a person's gait. We use the dynamic time-warping (DTW) approach for matching so that non-linear time normalization may be used to deal with the naturally-occuring changes in walking speed. The performance of the proposed method is tested using different gait databases.