Action recognition using geometric features and recurrent temporal attention network

Qinghui, 李庆辉 Li; Aihua, 李艾华 Li; Yong, 郑勇 Zheng; Hao, 方 浩 Fang

doi:10.3788/ope.20182610.2584

Cited by 2 publications

(1 citation statement)

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“…In the action image of Yao's long drum dance collected by the multieye machine vision system, the detailed information of the action is obtained through the reflection of the light source [12]. e action image obtained by the multicamera machine vision centralized camera is carried out through the Lambert body reflection model.…”

Section: Introductionmentioning

confidence: 99%

Design of Automatic Motion Capture Algorithm for Yao’s Long Drum Dance Based on Multieye Machine Vision

Meng

2022

Scientific Programming

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Aiming at the problems of low accuracy and long time consumption in the existing dance motion automatic capture methods, this study designs an automatic capture algorithm of Yao’s long drum dance based on multieye machine vision. The images of Yao’s long drum dance are collected by the multieye machine vision measurement system, and the image signals under different lighting conditions are processed; on this basis, by determining the dance action image threshold and analyzing the change law of action image signal, the dance action image extraction of Yao’s long drum is completed. By converting the dance action images from different angles, the Euler angle of the images from different angles is determined and fused. On this basis, the observation items of the observation part of the Yao long drum dance action image are set, and the a priori conditions and a posteriori probability of the Yao long drum dance action image preprocessing are determined, so as to obtain the best result of the dance action image, and dance action image preprocessing is completed. According to the preprocessed image, the capture algorithm of area range is designed, the remaining areas to be captured are determined by means of classification, and the automatic capture algorithm design of Yao’s long drum dance is completed. The experimental results show that the motion image captured by the automatic motion capture algorithm of Yao’s long drum dance based on multieye machine vision has high accuracy, and the capture time is long, which is feasible.

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Section: Introductionmentioning

confidence: 99%

Design of Automatic Motion Capture Algorithm for Yao’s Long Drum Dance Based on Multieye Machine Vision

Meng

2022

Scientific Programming

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Research on Kinect Calibration and Depth Error Compensation Based on BP Neural Network

Xianzhi

2020

2020 International Conference on Computer Vision, Image and Deep Learning (CVIDL)

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Action recognition using geometric features and recurrent temporal attention network

Cited by 2 publications

References 0 publications

Design of Automatic Motion Capture Algorithm for Yao’s Long Drum Dance Based on Multieye Machine Vision

Design of Automatic Motion Capture Algorithm for Yao’s Long Drum Dance Based on Multieye Machine Vision

Research on Kinect Calibration and Depth Error Compensation Based on BP Neural Network

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