Within a large range of applications in computer vision, Human Action Recognition has
become one of the most attractive research fields. Ambiguities in recognizing actions does …

Recognizing human activities using automated methods has emerged recently as a pivotal
research theme for security-related applications. In this research paper, an optical flow …

Human motion analysis has received a lot of attention in the computer vision community
during the last few years. This research domain is supported by a wide spectrum of …

Vision-based activity recognition is essential for security, monitoring and surveillance
applications. Further, real-time analysis having low-quality video and contain less …

It is a great challenge to perform high level recognition tasks on videos that are poor in
quality. In this paper, we propose a new spatio-temporal mid-level (STEM) feature bank for …

Despite a big volume of research on action recognition, little attention has been given to
individual action recognition in poor-quality spectator crowd scenes. It is an important …

Human activity recognition is one of the most intensively studied areas of computer vision
and pattern recognition in recent years. A wide variety of approaches have shown to work …

As computing becomes ubiquitous in our modern society, automated recognition of human
activities emerges as a crucial topic where it can be applied to many real-life human-centric …

The usage of video cameras for security purposes has grown in recent years. The time for
recognition of human plays an important role in solving many real time problems. In this …

Human action recognition from low quality video remains a challenging task for the action
recognition community. Recent state-of-the-art methods such as space-time interest point …