Results 21 to 30 of about 461,436 (263)

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

Video Summarization Using Deep Action Recognition Features and Robust Principal Component Analysis [PDF]

Journal of Systemics, Cybernetics and Informatics, 2020
In an instance where desired pre-defined actions, behaviors, or other categories are known a priori, various video classification and recognition models can be trained to discover those classifications and their location within the video.
Daniel M. Claborne, Karl T. Pazdernik, Steven J. Rysavy, Michael J. Henry   +3 more
doaj  

Follower: A Novel Self-Deployable Action Recognition Framework

Sensors, 2021
Deep learning technology has improved the performance of vision-based action recognition algorithms, but such methods require a large number of labeled training datasets, resulting in weak universality.
Xu Yang, Dongjingdian Liu, Jing Liu, Faren Yan, Pengpeng Chen, Qiang Niu   +5 more
doaj   +1 more source

Towards Understanding Action Recognition [PDF]

2013 IEEE International Conference on Computer Vision, 2013
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Hueihan Jhuang, Juergen Gall, Silvia Zuffi, Cordelia Schmid, Michael J. Black   +4 more
openaire   +5 more sources

I3D-Shufflenet Based Human Action Recognition

Algorithms, 2020
In view of difficulty in application of optical flow based human action recognition due to large amount of calculation, a human action recognition algorithm I3D-shufflenet model is proposed combining the advantages of I3D neural network and lightweight ...
Guocheng Liu, Caixia Zhang, Qingyang Xu, Ruoshi Cheng, Yong Song, Xianfeng Yuan, Jie Sun   +6 more
doaj   +1 more source

Fusion Object Detection and Action Recognition to Predict Violent Action

Sensors, 2023
In the context of Shared Autonomous Vehicles, the need to monitor the environment inside the car will be crucial. This article focuses on the application of deep learning algorithms to present a fusion monitoring solution which was three different ...
Nelson R. P. Rodrigues, Nuno M. C. da Costa, César Melo, Ali Abbasi, Jaime C. Fonseca, Paulo Cardoso, João Borges   +6 more
doaj   +1 more source

View-Invariant Action Recognition [PDF]

, 2020
Human action recognition is an important problem in computer vision. It has a wide range of applications in surveillance, human-computer interaction, augmented reality, video indexing, and retrieval. The varying pattern of spatio-temporal appearance generated by human action is key for identifying the performed action.
Yogesh S. Rawat, Shruti Vyas
openaire   +2 more sources

ACTION-Net: Multipath Excitation for Action Recognition [PDF]

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
To appear in CVPR ...
Zhengwei Wang, Qi She, Aljosa Smolic
openaire   +2 more sources

The Recognition of Action Idea EEG with Deep Learning

Complexity, 2022
The recognition in electroencephalogram (EEG) of action idea is to identify what action people want to do by EEG. The significance of this project is to help people who have trouble in movement.
Guoxia Zou
doaj   +1 more source

Unsafe action recognition in underground coal mine based on cross-attention mechanism

Gong-kuang zidonghua, 2022
The real-time video monitoring and alarming of unsafe actions of coal mine personnel is an important means to improve the level of safety in production. The coal mine underground environment is complex, and the monitoring video quality is poor.
RAO Tianrong, PAN Tao, XU Huijun
doaj   +1 more source