Results 21 to 30 of about 440,945 (164)

Fusion Object Detection and Action Recognition to Predict Violent Action

open access: yesSensors, 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   +6 more
doaj   +1 more source

The Recognition of Action Idea EEG with Deep Learning

open access: yesComplexity, 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

open access: yesGong-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

Action Recognition From Thermal Videos

open access: yesIEEE Access, 2019
Human action recognition using a camera-based surveillance system remains a challenging task. In particular, action recognition is difficult when a human is not visible in an image captured in a dark environment.
Ganbayar Batchuluun   +4 more
doaj   +1 more source

A Comprehensive Survey of Vision-Based Human Action Recognition Methods

open access: yesSensors, 2019
Although widely used in many applications, accurate and efficient human action recognition remains a challenging area of research in the field of computer vision.
Hong-Bo Zhang   +6 more
doaj   +1 more source

Human Action Recognition Method Based on Action-Time Perception [PDF]

open access: yesJisuanji gongcheng
To address the problem of redundant information in action videos and the sparse distribution of feature channels in action information, a 3D residual network based on action-time perception is proposed.
WANG Xiaolu, WEN Jianrong
doaj   +1 more source

Statistical Machine Learning for Human Behaviour Analysis

open access: yesEntropy, 2020
Human behaviour analysis has introduced several challenges in various fields, such as applied information theory, affective computing, robotics, biometrics and pattern recognition [...]
Thomas B. Moeslund   +4 more
doaj   +1 more source

NPU RGBD Dataset and a Feature-Enhanced LSTM-DGCN Method for Action Recognition of Basketball Players+

open access: yesApplied Sciences, 2021
Computer vision-based action recognition of basketball players in basketball training and competition has gradually become a research hotspot. However, owing to the complex technical action, diverse background, and limb occlusion, it remains a ...
Chunyan Ma   +3 more
doaj   +1 more source

Deep Learning based Human Action Recognition [PDF]

open access: yesITM Web of Conferences, 2021
Human action recognition has become an important research area in the fields of computer vision, image processing, and human-machine or human-object interaction due to its large number of real time applications.
Pandey Ritik   +3 more
doaj   +1 more source

Action recognition by discriminative EdgeBoxes

open access: yesIET Computer Vision, 2018
Due to the huge number of online videos uploaded and viewed every day, there is an emerging need nowadays for the action recognition techniques. Applying these techniques in uncontrolled and realistic videos is still a challenging task, considering the ...
Mohammed El‐Masry   +2 more
doaj   +1 more source

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