Curve spreads: a biometric from front-view gait video
Pattern Recognition Letters
How effective are landmarks and their geometry for face recognition?
Computer Vision and Image Understanding
Extraction and Analysis of Multiple Periodic Motions in Video Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gait analysis for human identification through manifold learning and HMM
Pattern Recognition
People tracking and segmentation using spatiotemporal shape constraints
VNBA '08 Proceedings of the 1st ACM workshop on Vision networks for behavior analysis
Performance analysis for gait in camera networks
AREA '08 Proceedings of the 1st ACM workshop on Analysis and retrieval of events/actions and workflows in video streams
An Alternative Approach to Computing Shape Orientation with an Application to Compound Shapes
International Journal of Computer Vision
Low Resolution Gait Recognition with High Frequency Super Resolution
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Discriminative Shape Alignment
IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging
Automatic Gait Recognition Using Weighted Binary Pattern on Video
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
How effective are landmarks and their geometry for face recognition?
Computer Vision and Image Understanding
Eyebrow recognition: a new biometric technique
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Gait recognition using wearable motion recording sensors
EURASIP Journal on Advances in Signal Processing - Special issue on recent advances in biometric systems: a signal processing perspective
Individual Identification Using Gait Sequences under Different Covariate Factors
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
Gait recognition based on the feature fusion
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Uncorrelated discriminant simplex analysis for view-invariant gait signal computing
Pattern Recognition Letters
Gait identification using cumulants of accelerometer data
SENSIG'09/VIS'09/MATERIALS'09 Proceedings of the 2nd WSEAS International Conference on Sensors, and Signals and Visualization, Imaging and Simulation and Materials Science
Radar micro-Doppler for long range front-view gait recognition
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Human shape tracking for gait recognition using active contours with mean shift
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
Human gait recognition using temporal slices
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
A research of motion classification in gait recognition
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 5
Gait recognition using Hough transform and principal component analysis
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Performance analysis for automated gait extraction and recognition in multi-camera surveillance
Multimedia Tools and Applications
WSEAS Transactions on Signal Processing
Vs-star: A visual interpretation system for visual surveillance
Pattern Recognition Letters
Low-resolution gait recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Self-calibrating view-invariant gait biometrics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Chrono-gait image: a novel temporal template for gait recognition
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
What image information is important in silhouette-based gait recognition?
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Advances in automatic gait recognition
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Frontal view gait based recognition using PCA
ACAI '11 Proceedings of the International Conference on Advances in Computing and Artificial Intelligence
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
A new method for human gait recognition using temporal analysis
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Gait recognition using procrustes shape analysis and shape context
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Frontal gait recognition combining 2D and 3D data
Proceedings of the on Multimedia and security
Human gait recognition via deterministic learning
Neural Networks
Gait recognition via optimally interpolated deformable contours
Pattern Recognition Letters
EM-GPA: Generalized Procrustes analysis with hidden variables for 3D shape modeling
Computer Vision and Image Understanding
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Gait recognition has recently gained significant attention from computer vision researchers. This interest is strongly motivated by the need for automated person identification systems at a distance in visual surveillance and monitoring applications. The paper proposes a simple and efficient automatic gait recognition algorithm using statistical shape analysis. For each image sequence, an improved background subtraction procedure is used to extract moving silhouettes of a walking figure from the background. Temporal changes of the detected silhouettes are then represented as an associated sequence of complex vector configurations in a common coordinate frame, and are further analyzed using the Procrustes shape analysis method to obtain mean shape as gait signature. Supervised pattern classification techniques, based on the full Procrustes distance measure, are adopted for recognition. This method does not directly analyze the dynamics of gait, but implicitly uses the action of walking to capture the structural characteristics of gait, especially the shape cues of body biometrics. The algorithm is tested on a database consisting of 240 sequences from 20 different subjects walking at 3 viewing angles in an outdoor environment. Experimental results are included to demonstrate the encouraging performance of the proposed algorithm.