Abstract
The main goal of Motion Capture based modeling is to understand the essence of human gait phenomenon. Actually the following methods can propose to recognize gaits: The Dynamic Time Warping. method is based on dynamic programming and is widely used for different time-series comparison applications (like voice recognition. Spectrum analysis of the motion signal leads to interesting results concerning person identification The proposed method for gait recognition that uses various techniques of comparing the surface areas under the motion curves offers very accurate results. One of the most challenging problems in markerless motion capture, but offering a widespread application potential is that of estimation of body pose from single video sequence.
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Klempous, R. (2013). Surface Area Under the Motion Curve as a New Tool for Gait Recognition. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory - EUROCAST 2013. EUROCAST 2013. Lecture Notes in Computer Science, vol 8112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53862-9_26
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DOI: https://doi.org/10.1007/978-3-642-53862-9_26
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