Recognizing human activities from video sequences or still images is a challenging task due
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …

In modern e-Healthcare systems, human activity recognition (HAR) is one of the most
challenging tasks in remote monitoring of patients suffering from mental illness or disabilities …

Human Action Recognition (HAR) for CCTV-oriented applications is still a challenging
problem. Real-world scenarios HAR implementations is difficult because of the gap between …

Conventional action recognition algorithms adopt a single type of feature or a simple
concatenation of multiple features. In this paper, we propose to better fuse and embed …

Significant efforts have been made to monitor human activity, although it remains a
challenging area for computer vision research. This paper has introduced a framework to …

Robotic writing is a very challenging task and involves complicated kinematic control
algorithms and image processing work. This paper, alternatively, proposes a robot …

This paper presents an unsupervised clustering random-forest-based metric for affinity
estimation in large and high-dimensional data. The criterion used for node splitting during …

Human action recognition is still attracting the computer vision research community due to its
various applications. However, despite the variety of methods proposed to solve this …

We present ActionXPose, a novel 2D pose-based algorithm for posture-level Human Action
Recognition (HAR). The proposed approach exploits 2D human poses provided by …

In this paper, we tackle the problem of action recognition using body skeletons extracted
from video sequences. Our approach lies in the continuity of recent works representing …