Moving object recognition in eigenspace representation: gait analysis and lip reading
Pattern Recognition Letters
View-invariant Estimation of Height and Stride for Gait Recognition
ECCV '02 Proceedings of the International ECCV 2002 Workshop Copenhagen on Biometric Authentication
Synchronization of oscillations for machine perception of gaits
Computer Vision and Image Understanding
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MIC'06 Proceedings of the 25th IASTED international conference on Modeling, indentification, and control
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Proceedings of the 1st ACM international workshop on Human-centered multimedia
Gait recognition using image self-similarity
EURASIP Journal on Applied Signal Processing
Synchronization of oscillations for machine perception of gaits
Computer Vision and Image Understanding
Automatic gait recognition via Fourier descriptors of deformable objects
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Movement identification analysis based on motion capture
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
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
The online gait measurement for characteristic gait animation synthesis
Proceedings of the 2011 international conference on Virtual and mixed reality: new trends - Volume Part I
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
The different possibilities for gait identification based on motion capture
EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part II
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Gait is an emerging biometric. Current systems are either holistic or feature based and have been demonstrated to be able to recognise people by the way they walk. This paper describes a new system that extends the feature based approach to recognise people by the way they walk and run. A bilateral symmetric and coupled oscillator is the key concept that underlies this model, which includes both the upper and the lower leg. The gait signature is created from the phase-weighted magnitude of the lower order Fourier components of both the thigh and knee rotation. This technique has proved to be capable of recognising people when walking or running and future work intends to develop invariance attributes of walking or running for the new description.