This letter presents a novel three-stream network for action recognition in extreme low
resolution (LR) videos. In contrast to the existing networks, the new network uses the …

This paper proposes a two-stream network with a novel spatial-temporal multi-head self-
attention mechanism for action recognition in extreme low resolution (LR) videos. The new …

The recognition of objects in image based on a specific pattern and distance metrics allows
solving the tasks of classification and object search. The methods for recognition …

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

Existing sign language recognition (SLR) methods mostly rely on high-quality videos that
include clear hand and body movements. However, these approaches often fall short in …

Most existing video action recognition methods mainly rely on high-level semantic
information from convolutional neural networks (CNNs) but ignore the discrepancies of …

Human activity recognition (HAR) is one of the most intensively studied areas of computer
vision in recent times. However, under real world conditions, especially when public …