Multimodal detection of human interaction events in a nursing home environment
Proceedings of the 6th international conference on Multimodal interfaces
A full-body layered deformable model for automatic model-based gait recognition
EURASIP Journal on Advances in Signal Processing
Frame difference energy image for gait recognition with incomplete silhouettes
Pattern Recognition Letters
Factorial HMM and parallel HMM for gait recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A study on gait-based gender classification
IEEE Transactions on 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
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Syntactic matching of trajectories for ambient intelligence applications
IEEE Transactions on Multimedia
Fast communication: Active energy image plus 2DLPP for gait recognition
Signal Processing
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
An uninterrupted bird repeller on transmission line
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Vs-star: A visual interpretation system for visual surveillance
Pattern Recognition Letters
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
Gait recognition based on improved dynamic Bayesian networks
Pattern Recognition
Gait flow image: A silhouette-based gait representation for human identification
Pattern Recognition
Gait recognition based on fusion of multi-view gait sequences
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Dual phase learning for large scale video gait recognition
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Identifying walk cycles for human recognition
PAISI'12 Proceedings of the 2012 Pacific Asia conference on Intelligence and Security Informatics
An adaptive system for gait recognition in multi-view environments
Proceedings of the on Multimedia and security
Reducing the effect of noise on human contour in gait recognition
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Partitioning gait cycles adaptive to fluctuating periods and bad silhouettes
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Gait recognition based on shape and motion analysis of silhouette contours
Computer Vision and Image Understanding
Human Activity Recognition Using Gait Pattern
International Journal of Computer Vision and Image Processing
On optimal operator for combining left and right sole pressure data in biometrics security
Advances in Fuzzy Systems
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Vision-based human identification at a distance has recently gained growing interest from computer vision researchers. This paper describes a human recognition algorithm by combining static and dynamic body biometrics. For each sequence involving a walker, temporal pose changes of the segmented moving silhouettes are represented as an associated sequence of complex vector configurations and are then analyzed using the Procrustes shape analysis method to obtain a compact appearance representation, called static information of body. In addition, a model-based approach is presented under a Condensation framework to track the walker and to further recover joint-angle trajectories of lower limbs, called dynamic information of gait. Both static and dynamic cues obtained from walking video may be independently used for recognition using the nearest exemplar classifier. They are fused on the decision level using different combinations of rules to improve the performance of both identification and verification. Experimental results of a dataset including 20 subjects demonstrate the feasibility of the proposed algorithm.