Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Moving object recognition in eigenspace representation: gait analysis and lip reading
Pattern Recognition Letters
Using Discriminant Eigenfeatures for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
New Area Based Metrics for Gait Recognition
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Stride and Cadence as a Biometric in Automatic Person Identification and Verification
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
Baseline Results for the Challenge Problem of Human ID Using Gait Analysis
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Curve spreads: a biometric from front-view gait video
Pattern Recognition Letters
Matching Shape Sequences in Video with Applications in Human Movement Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gait recognition using linear time normalization
Pattern Recognition
Human gait recognition at sagittal plane
Image and Vision Computing
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Gait recognition for human identification based on ICA and fuzzy SVM through multiple views fusion
Pattern Recognition Letters
International Journal of Electronic Security and Digital Forensics
Frontal-view gait recognition by intra- and inter-frame rectangle size distribution
Pattern Recognition Letters
Individual Identification Using Gait Sequences under Different Covariate Factors
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
Wavelet analysis of cyclic human gait for recognition
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Zernike velocity moments for sequence-based description of moving features
Image and Vision Computing
Histograms of optical flow for efficient representation of body motion
Pattern Recognition Letters
Enhanced gait recognition based on weighted dynamic feature
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Action and gait recognition from recovered 3-D human joints
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Gait flow image: A silhouette-based gait representation for human identification
Pattern Recognition
Advances in automatic gait recognition
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Gait recognition using independent component analysis
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Significance of dynamic content of gait present in the lower silhouette region
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
Gender classification in human gait using support vector machine
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
2D and 3d full-body gesture database for analyzing daily human gestures
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
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A novel technique for analysing moving shapes is presented in an example application to automatic gait recognition. The technique uses masking functions to measure area as a time varying signal from a sequence of silhouettes of a walking subject. Essentially, this combines the simplicity of a baseline area measure with the specificity of the selected (masked) area. The dynamic temporal signal is used as a signature for automatic gait recognition. The approach is tested on the largest extant gait database, consisting of 114 subjects (filmed under laboratory conditions). Though individual masks have limited discriminatory ability, a correct classification rate of over 75% was achieved by combining information from different area masks. Knowledge of the leg with which the subject starts a gait cycle is shown to improve the recognition rate from individual masks, but has little influence on the recognition rate achieved from combining masks. Finally, this technique is used to attempt to discriminate between male and female subjects. The technique is presented in basic form: future work can improve implementation factors such as using better data fusion and classifiers with potential to increase discriminatory capability.