Dynamic Time Warping under limited warping path length

Time Warping Under Dynamic Constraints

Action and event recognition from video require comparing temporal sequences of images, or of intermediate representations derived from them. Such a comparison should be insensitive to intrinsic temporal variations within the same class – for instance the speed of execution of a particular gesture – and at the same time retain discriminative power to enable classifying different actions. In thi...

Derivative Dynamic Time Warping

Time series are a ubiquitous form of data occurring in virtually every scientific discipline. A common task with time series data is comparing one sequence with another. In some domains a very simple distance measure, such as Euclidean distance will suffice. However, it is often the case that two sequences have the approximately the same overall component shapes, but these shapes do not line up...

shapeDTW: Shape Dynamic Time Warping

Dynamic Time Warping (DTW) is an algorithm to align temporal sequences with possible local non-linear distortions, and has been widely applied to audio, video and graphics data alignments. DTW is essentially a point-to-point matching method under some boundary and temporal consistency constraints. Although DTW obtains a global optimal solution, it does not necessarily achieve locally sensible m...

Dynamic Time Warping Algorithm Review

Correlation Based Dynamic Time Warping

Dynamic Time Warping (DTW) is a widely used technique for univariate time series comparison. This paper proposes a new algorithm for the comparison of multivariate time series which generalize DTW for the needs of correlated multivariate time series.