Multivariate time series (MTS) datasets are common in various multimedia, medical and
financial applications. We propose a similarity measure for MTS datasets, Eros Extended …

Alignment of time series is an important problem to solve in many scientific disciplines. In
particular, temporal alignment of two or more subjects performing similar activities is a …

If automated vehicles (AVs) are to move efficiently through the traffic environment, there is a
need for them to interact and communicate with other road users in a comprehensible and …

Video retrieval is increasingly based on image content. A number of studies on video
retrieval have used low-level pixel content related to statistical moments, shape, colour and …

Temporal alignment of human motion has been a topic of recent interest due to its
applications in animation, telerehabilitation and activity recognition among others. This …

One of the fundamental challenges of recognizing actions is accounting for the variability
that arises when arbitrary cameras capture humans performing actions. In this paper, we …

Most work in action recognition deals with sequences acquired by stationary cameras with
fixed viewpoints. Due to the camera motion, the trajectories of the body parts contain not …

Temporal alignment of human motion has been of recent interest due to its applications in
animation, tele-rehabilitation and activity recognition. This paper presents generalized …

For understanding the behavior, intent, and environment of a person, the surveillance
metaphor is traditional; that is, install cameras and observe the subject, and his/her …

We address the problem of structure learning of human motion in order to recognize actions
from a continuous monocular motion sequence of an arbitrary person from an arbitrary …