[HTML][HTML] Human activity recognition: Review, taxonomy and open challenges

MH Arshad, M Bilal, A Gani - Sensors, 2022 - mdpi.com
Nowadays, Human Activity Recognition (HAR) is being widely used in a variety of domains,
and vision and sensor-based data enable cutting-edge technologies to detect, recognize …

Data-driven enabled approaches for criteria-based video summarization: a comprehensive survey, taxonomy, and future directions

A Sabha, A Selwal - Multimedia Tools and Applications, 2023 - Springer
The exponential growth in the usage of computing technologies in various applications has
led to the creation of huge amount of multimedia information such as, video, audio, and text …

A cooperative vehicle-infrastructure system for road hazards detection with edge intelligence

C Chen, G Yao, L Liu, Q Pei, H Song… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Road hazards (RH) have always been the cause of many serious traffic accidents. These
have posed a threat to the safety of drivers, passengers, and pedestrians, and have also …

Online human action detection and anticipation in videos: A survey

X Hu, J Dai, M Li, C Peng, Y Li, S Du - Neurocomputing, 2022 - Elsevier
To meet the demand for powerful models for practical applications in real time, the focus of
research on human actions has shifted from offline detection to online and real-time …

Progressive privileged knowledge distillation for online action detection

P Zhao, L **e, J Wang, Y Zhang, Q Tian - Pattern Recognition, 2022 - Elsevier
Abstract Online Action Detection (OAD) in videos addresses the problem of real-time
analysis for streaming videos, ie, only the observed historical video frames are available at …

Temporal filtering networks for online action detection

H Eun, J Moon, J Park, C Jung, C Kim - Pattern Recognition, 2021 - Elsevier
Online action detection aims to detect a current action from an untrimmed, streaming video,
where only current and past frames are available. Recent methods for online action …

Htnet: Anchor-free temporal action localization with hierarchical transformers

TK Kang, GH Lee, SW Lee - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Temporal action localization (TAL) is a task of identifying a set of actions in a video, which
involves localizing the start and end frames and classifying each action instance. Existing …

Deep neural network with adaptive dual-modality fusion for temporal aggressive behavior detection of group-housed pigs

K Yan, B Dai, H Liu, Y Yin, X Li, R Wu… - Computers and Electronics …, 2024 - Elsevier
The frequent occurrence of pig aggressive behaviors in intensive group-housed
environment seriously affects pig health, welfare and farms economy. Accurate detection of …

Progressive downsampling and adaptive guidance networks for dynamic scene deblurring

J Cui, W Li, W Guo, W Gong - Pattern Recognition, 2022 - Elsevier
The existing learning-based dynamic scene deblurring methods have made good progress
to some extent. However, these methods are usually based on multiscale strategy, which …

Weakly-supervised action localization via embedding-modeling iterative optimization

XY Zhang, H Shi, C Li, P Li, Z Li, P Ren - Pattern Recognition, 2021 - Elsevier
Action recognition and localization in untrimmed videos in weakly supervised scenario is a
challenging problem of great application prospects. Limited by the information available in …