Results 51 to 60 of about 2,738,599 (315)
Human action recognition using weighted pooling
IET Computer Vision, 2014 Pooling strategies, such as max pooling and sum pooling, have been widely used to obtain the global representations for action videos. However, these pooling strategies have several disadvantages.
Wen Zhou +3 more
doaj +1 more source
Efficient Hybrid Algorithm for Human Action Recognition
Journal of Image and Graphics, 2023 Recently, researchers have sought to find the ideal way to recognize human actions through video using artificial intelligence due to the multiplicity of applications that rely on it in many fields.
Mostafa A. Abdelrazik +2 more
semanticscholar +1 more source
Context-Aware Cross-Attention for Skeleton-Based Human Action Recognition
IEEE Access, 2020 Skeleton-based human action recognition is becoming popular due to its computational efficiency and robustness. Since not all skeleton joints are informative for action recognition, attention mechanisms are adopted to extract informative joints and ...
Yanbo Fan +4 more
doaj +1 more source
The THUMOS Challenge on Action Recognition for Videos "in the Wild" [PDF]
, 2016 Automatically recognizing and localizing wide ranges of human actions has crucial importance for video understanding. Towards this goal, the THUMOS challenge was introduced in 2013 to serve as a benchmark for action recognition.
Gorban, Alex +6 more
core +4 more sources
View Adaptive Neural Networks for High Performance Skeleton-Based Human Action Recognition [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 Skeleton-based human action recognition has recently attracted increasing attention thanks to the accessibility and the popularity of 3D skeleton data. One of the key challenges in action recognition lies in the large variations of action representations
Pengfei Zhang +5 more
semanticscholar +1 more source
Improved two-stream model for human action recognition
EURASIP Journal on Image and Video Processing, 2020 This paper addresses the recognitions of human actions in videos. Human action recognition can be seen as the automatic labeling of a video according to the actions occurring in it. It has become one of the most challenging and attractive problems in the
Yuxuan Zhao +4 more
doaj +1 more source
IEEE Access, 2018 Action recognition is a trending topic and key research direction in computer vision, machine learning, artificial intelligence, and other fields. This research seeks to identify human action in image and video data. Its research results have been widely
Feng-Ping An
doaj +1 more source
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
, 2019 Research on depth-based human activity analysis achieved outstanding performance and demonstrated the effectiveness of 3D representation for action recognition.
Duan, Ling-Yu +5 more
core +1 more source
Review of Human Action Recognition Based on Deep Learning
Jisuanji kexue yu tansuo, 2021 Human action recognition is one of the important topics in video understanding. It is widely used in video surveillance, human-computer interaction, motion analysis, and video information retrieval.
QIAN Huifang, YI Jianping, FU Yunhu
doaj +1 more source
Action-Attending Graphic Neural Network
, 2017 The motion analysis of human skeletons is crucial for human action recognition, which is one of the most active topics in computer vision. In this paper, we propose a fully end-to-end action-attending graphic neural network (A$^2$GNN) for skeleton-based ...
Cui, Zhen +5 more
core +1 more source