Moving object recognition in eigenspace representation: gait analysis and lip reading
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The HumanID Gait Challenge Problem: Data Sets, Performance, and Analysis
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Improved Gait Recognition by Gait Dynamics Normalization
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The Function Space of an Activity
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Model SelectionWithin a Bayesian Approach to Extraction of Walker Motion
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Combining multiple evidences for gait recognition
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Gait recognition using linear time normalization
Pattern Recognition
A Sparse Decomposition Method for Periodic Signal Mixtures
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
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ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Gait recognition using a view transformation model in the frequency domain
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Effect of silhouette quality on hard problems in gait recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Walk detection and step counting on unconstrained smartphones
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
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This paper proposes a method for phase registration of a single non-parametric quasi-periodic signal. After a short-term period has been detected for each sample by normalized autocorrelation, Self Dynamic Time Warping (Self DTW) between a quasi-periodic signal and that with multiple-period shifts is applied to obtain corresponding samples of the same phase. A phase sequence is finally estimated by the optimization framework including the data term derived from the correspondences, the regularization term derived from short-term periods, and a monotonic increasing constraint of the phase. Experiments on quasiperiodic signals from both simulated and real data show the effectiveness of the proposed method.