S Liu, X Ma, H Wu, Y Li - IEEE Access, 2020 - ieeexplore.ieee.org
Human action recognition is a challenging task in computer vision. Modeling spatial- temporal information in videos effectively is crucial for the performance improvement of …
J Wensel, H Ullah, A Munir - IEEE Access, 2023 - ieeexplore.ieee.org
Human activity recognition is an emerging and important area in computer vision which seeks to determine the activity an individual or group of individuals are performing. The …
Ultra-high-resolution aerial videos are becoming increasingly popular for enhancing surveillance capabilities in sparsely populated areas. However analyzing human activities …
TC Koh, CK Yeo, X Jing, S Sivadas - SN Applied Sciences, 2023 - Springer
Given the prevalence of surveillance cameras in our daily lives, human action recognition from videos holds significant practical applications. A persistent challenge in this field is to …
Advancements in deep neural networks have contributed to near-perfect results for many computer vision problems, such as object recognition, face recognition, and pose estimation …
T Chen, L Mo - Neural Processing Letters, 2023 - Springer
Human action recognition based on still images is one of the most challenging computer vision tasks. In the past decade, convolutional neural networks (CNNs) have developed …
Aerial human action recognition is an emerging topic in drone applications. Commercial drone platforms capable of detecting basic human actions such as hand gestures have been …
In this paper, we propose a novel approach to video action recognition that integrates a modified and optimized 3D Convolutional Neural Network, a Long Short-Term Memory …
We Introduce a simple yet effective network that embeds a novel Discriminative Feature Pooling (DFP) mechanism and a novel Video Segment Attention Model (VSAM), for video …