ABSTRACT This paper expresses an application of similarity matching of the signatures through DTW. Fundamental aspect of classification is template matching. The classification is robust to noise, scaling, and rotation. Feature includes radius plus angle along the boundary points with respect to center of gravity. The classification automatically and confidently discloses the shape of every obj...

This paper introduces a method for human action recognition based on optical flow motion features extraction. Automatic spatial and temporal alignments are combined together in order to encourage the temporal consistence on each action by an enhanced dynamic time warping (DTW) algorithm. At the same time, a fast method based on coarse-to-fine DTW constraint to improve computational performance ...

Digital watermarking is one of commonly used solutions for copyright protection. A watermark should be imperceptible and robust to various attacks. In this paper, we address watermarking for motion data. Our watermarking scheme is based on two well-known ideas, so called multiresolution representation and spread spectrum. We embed a watermark into a motion signal by perturbing large detail coef...

Dynamic Time Warping (DTW) is a time series distance measure that allows non-linear alignments between series. Constraints on the in form of windows and weights have been introduced because unconstrained DTW too permissive its alignments. However, windowing introduces crude step function, allowing flexibility within window, none beyond it. While not entailing multiplicative weight relative to d...