Driver pose estimation using convolutional neural networks

Optics and Precision Engineering ◽

10.37188/ope.20212904.0813 ◽

2021 ◽

Vol 29 (4) ◽

pp. 813-821

Author(s):

Ren-wen CHEN ◽

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Ting-ting YUAN ◽

Wen-bin HUANG ◽

Yu-xiang ZHANG

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Pose Estimation

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3D Hand-Object Pose Estimation from Depth with Convolutional Neural Networks

2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017) ◽

10.1109/fg.2017.58 ◽

2017 ◽

Author(s):

Duncan Goudie ◽

Aphrodite Galata

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Pose Estimation ◽

Object Pose Estimation

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Depth-aware convolutional neural networks for accurate 3D pose estimation in RGB-D images

2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ◽

10.1109/iros.2017.8206469 ◽

2017 ◽

Author(s):

Lorenzo Porzi ◽

Adrian Penate-Sanchez ◽

Elisa Ricci ◽

Francesc Moreno-Noguer

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Pose Estimation ◽

3D Pose Estimation

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Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos

Computer Vision -- ACCV 2014 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-16865-4_35 ◽

2015 ◽

pp. 538-552 ◽

Author(s):

Tomas Pfister ◽

Karen Simonyan ◽

James Charles ◽

Andrew Zisserman

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Pose Estimation ◽

Deep Convolutional Neural Networks

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Relative Pose Estimation of Visual SLAM Based on Convolutional Neural Networks

2019 Chinese Control Conference (CCC) ◽

10.23919/chicc.2019.8870974 ◽

2019 ◽

Author(s):

Xiaogang Ruan ◽

Fei Wang ◽

Jing Huang

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Pose Estimation ◽

Visual Slam ◽

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On the use of convolutional neural networks for graphical model-based human pose estimation

2017 International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom) ◽

10.1109/sigtelcom.2017.7849801 ◽

2017 ◽

Author(s):

Huynh Vu ◽

Eva Cheng ◽

Richardt Wilkinson ◽

Margaret Lech

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Pose Estimation ◽

Graphical Model ◽

Human Pose Estimation ◽

Model Based ◽

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Concept detection and face pose estimation using lightweight convolutional neural networks for steering drone video shooting

2017 25th European Signal Processing Conference (EUSIPCO) ◽

10.23919/eusipco.2017.8081171 ◽

2017 ◽

Author(s):

Nikolaos Passalis ◽

Anastasios Tefas

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Pose Estimation ◽

Concept Detection

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End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) ◽

10.1109/cvpr.2016.335 ◽

2016 ◽

Author(s):

Wei Yang ◽

Wanli Ouyang ◽

Hongsheng Li ◽

Xiaogang Wang

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Pose Estimation ◽

Human Pose Estimation ◽

Deep Convolutional Neural Networks ◽

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FastV2C-HandNet: Fast Voxel to Coordinate Hand Pose Estimation with 3D Convolutional Neural Networks

Advances in Intelligent Systems and Computing - International Conference on Innovative Computing and Communications ◽

10.1007/978-981-15-5113-0_31 ◽

2020 ◽

pp. 413-426

Author(s):

Rohan Lekhwani ◽

Bhupendra Singh

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Pose Estimation ◽

Hand Pose Estimation ◽

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Real Time 3D Pose Estimation of Both Human Hands via RGB-Depth Camera and Deep Convolutional Neural Networks

IFMBE Proceedings - 7th International Conference on the Development of Biomedical Engineering in Vietnam (BME7) ◽

10.1007/978-981-13-5859-3_81 ◽

2019 ◽

pp. 467-471

Author(s):

Geon Gi ◽

Tae Yeon Kim ◽

Hye Min Park ◽

Jeong Min Park ◽

Dong-Luong Dinh ◽

...

Keyword(s):

Neural Networks ◽

Real Time ◽

Convolutional Neural Networks ◽

Pose Estimation ◽

Depth Camera ◽

Deep Convolutional Neural Networks ◽

3D Pose Estimation ◽

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Preterm infants' limb-pose estimation from depth images using convolutional neural networks

2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) ◽

10.1109/cibcb.2019.8791242 ◽

2019 ◽

Author(s):

Sara Moccia ◽

Lucia Migliorelli ◽

Rocco Pietrini ◽

Emanuele Frontoni

Keyword(s):

Neural Networks ◽

Preterm Infants ◽

Convolutional Neural Networks ◽

Pose Estimation ◽

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