Over the past several years, we have witnessed remarkable progress in numerous computer
vision applications, particularly in human activity analysis. Human action recognition, which …

In recent years, numerous techniques have been proposed for human activity recognition
(HAR) from images and videos. These techniques can be divided into two major categories …

Introduction: Action recognition is a challenging time series classification task that has
received much attention in the recent past due to its importance in critical applications, such …

There has been increased attention paid to autonomous unmanned aerial vehicles (UAVs)
recently because of their usage in several fields. Human action recognition (HAR) in UAV …

This research paper introduces a new approach for human activity recognition from UAV-
captured video sequences. The proposed approach involves two phases: an offline phase …

Recognizing human actions and analyzing human behaviors from accelerometer data has
become a challenging task. Hence, Human Action Recognition (HAR) using inertial sensors …

Computer vision technologies have greatly improved in the last few years. Many problems
have been solved using deep learning merged with more computational power. Action …

The accurate detection and recognition of human actions play a pivotal role in aerial
surveillance, enabling the identification of potential threats and suspicious behavior. Several …

The scarcity of high quality actions video data is a bottleneck in the research and application
of action recognition. Although significant effort has been made in this area, there still exist …