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 …

With modern e-healthcare developments, ambulatory healthcare has become a prominent
requirement for physical or mental ailed, elderly, childhood people. One of the major …

Human detection and activity recognition (HDAR) in videos plays an important role in
various real-life applications. Recently, object detection methods have been used to detect …

Human actions being diverse in nature cannot be generalized, thus making it quite difficult to
train a machine to recognize such diversified actions. This challenge is further compounded …

Human action recognition is an important topic in artificial intelligence with a wide range of
applications including surveillance systems, search-and-rescue operations, human …

Human activity recognition (HAR) is an important research area in both machine learning
and human–computer interactions. Unfortunately, it remains an extremely difficult process …

With the emergence of smartness in various fields including medical science, forensics and
security, remote monitoring of human activities has gained more interests in research. The …

The intelligent surveillance system is considered as an important research field since it
provides continuous personal security solution. In fact, this surveillance system support …

Action recognition is an emerging topic in artificial intelligence, which aims to automatically
detect and recognize actions of human and intelligent nodes (vehicles, UAVs) by processing …

Recognizing human actions in aerial videos captured by Unmanned Aerial Vehicles (UAVs)
presents a significant challenge due to reduced resolution and blurry appearance of …