A Multi-view Method for Gait Recognition Using Static Body Parameters
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Analysis and Recognition of Walking Movements
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
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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
Gait Analysis for Recognition and Classification
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
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Improved Gait Recognition by Gait Dynamics Normalization
IEEE Transactions on Pattern Analysis and Machine Intelligence
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CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
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
Advances in automatic gait recognition
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
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This paper explores gait recognition for various walking speeds. Normal-constant speed is one of the assumptions being made in many current gait recognition techniques. However, some techniques do not scale well when certain gait conditions such as walking speed varies. We demonstrate the characteristics of time-distance gait parameters, stride length and cadence, with respect to walking speed at the inter-and intra-individual variation levels. The speed normalization or adjustment of gait features are studied and presented in details along with the expected recognition results. Our study of walking speed variations allows us to ascertain systematically the expected recognition-performance of time-distance gait parameters (stride length and cadence). In addition, we show the levels of measurement noise which can be tolerated in measuring these gait features without losing useful identity information.