Soft biometrics-combining body weight and fat measurements with fingerprint biometrics
Pattern Recognition Letters
Outdoor recognition at a distance by fusing gait and face
Image and Vision Computing
A full-body layered deformable model for automatic model-based gait recognition
EURASIP Journal on Advances in Signal Processing
Histograms of optical flow for efficient representation of body motion
Pattern Recognition Letters
Studies on silhouette quality and gait recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Amplitude spectrum-based gait recognition
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Advances in automatic gait recognition
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Phase registration of a single quasi-periodic signal using self dynamic time warping
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
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 novel gait recognition method via fusing shape and kinematics features
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
Reducing the effect of noise on human contour in gait recognition
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Journal of Visual Communication and Image Representation
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In this paper, we systematically analyze different components of human gait, for the purpose of human identification. We investigate dynamic features such as the swing of the hands/legs, the sway of the upper body and static features like height in both frontal and side views. Both probabilistic and non-probabilistic techniques are used for matching the features. Various combination strategies may be used depending upon the gait features being combined. We discuss three simple rules: the sum, product and MIN rules that are relevant to our feature sets. Experiments using four different data sets demonstrate that fusion can be used as an effective strategy in recognition.