Monitoring the activities of daily living (ADLs) and detection of deviations from previous
patterns is crucial to assessing the ability of an elderly person to live independently in their …

The problem of describing images through natural language has gained importance in the
computer vision community. Solutions to image description have either focused on a top …

As one of the critical elements for smart manufacturing, human-robot collaboration (HRC),
which refers to goal-oriented joint activities of humans and collaborative robots in a shared …

Action videos are multidimensional data and can be naturally represented as data tensors.
While tensor computing is widely used in computer vision, the geometry of tensor space is …

View based recognition methods use visual templates for recognition and hence do not
extract complex features from the image. Instead they retain the entire raw image as a single …

A recent trend in healthcare is to motivate patients to self-manage their health conditions in
home-based settings. Self-management programs guide and motivate patients to achieve …

This work presents a theory and methodology for simultaneous detection of local spatial and
temporal scales in video data. The underlying idea is that if we process video data by spatio …

Least squares regression is a basic approach for statistical analysis. However, its simplicity
has often led to researchers overlooking it for complex recognition problems. In this paper …

Documents containing video and text are becoming more and more widespread and yet
content analysis of those documents depends primarily on the text. Although automated …

This paper addresses the problem of recognizing human actions in video sequences for
home care applications. Recent studies have shown that approaches which use a bag-of …