Real-Time Human Pose Estimation on a Smart Walker using Convolutional Neural Networks

Expert Systems with Applications ◽

10.1016/j.eswa.2021.115498 ◽

2021 ◽

pp. 115498

Author(s):

Manuel Palermo ◽

Sara Moccia ◽

Lucia Migliorelli ◽

Emanuele Frontoni ◽

Cristina P. Santos

Keyword(s):

Neural Networks ◽

Real Time ◽

Convolutional Neural Networks ◽

Pose Estimation ◽

Human Pose Estimation ◽

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Real-time Human Pose Estimation with Convolutional Neural Networks

Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications ◽

10.5220/0006624403350342 ◽

2018 ◽

Author(s):

Marko Linna ◽

Juho Kannala ◽

Esa Rahtu

Keyword(s):

Neural Networks ◽

Real Time ◽

Convolutional Neural Networks ◽

Pose Estimation ◽

Human Pose Estimation ◽

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Real-Time Human Pose Estimation via Cascaded Neural Networks Embedded with Multi-task Learning

Computer Analysis of Images and Patterns - Lecture Notes in Computer Science ◽

10.1007/978-3-319-64698-5_21 ◽

2017 ◽

pp. 241-252

Author(s):

Satoshi Tanabe ◽

Ryosuke Yamanaka ◽

Mitsuru Tomono ◽

Makiko Ito ◽

Teruo Ishihara

Keyword(s):

Neural Networks ◽

Real Time ◽

Pose Estimation ◽

Human Pose Estimation ◽

Task Learning ◽

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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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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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Human Pose Estimation Using Convolutional Neural Networks

2019 Amity International Conference on Artificial Intelligence (AICAI) ◽

10.1109/aicai.2019.8701267 ◽

2019 ◽

Author(s):

Anubhav Singh ◽

Shruti Agarwal ◽

Preeti Nagrath ◽

Anmol Saxena ◽

Narina Thakur

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Pose Estimation ◽

Human Pose Estimation ◽

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A human pose estimation algorithm based on the integration of improved convolutional neural networks and multi-level graph structure constrained model

Personal and Ubiquitous Computing ◽

10.1007/s00779-019-01255-8 ◽

2019 ◽

Vol 23 (3-4) ◽

pp. 607-616

Author(s):

Yang You ◽

Yanmin Zhao

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Pose Estimation ◽

Estimation Algorithm ◽

Human Pose Estimation ◽

Graph Structure ◽

Multi Level ◽

Constrained Model ◽

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Sparse representation and convolutional neural networks for 3D human pose estimation

2017 3rd Iranian Conference on Intelligent Systems and Signal Processing (ICSPIS) ◽

10.1109/icspis.2017.8311614 ◽

2017 ◽

Author(s):

Hassan Alikarami ◽

Farzin Yaghmaee ◽

Mohammad Javad Fadaeieslam

Keyword(s):

Neural Networks ◽

Sparse Representation ◽

Convolutional Neural Networks ◽

Pose Estimation ◽

Human Pose Estimation ◽

3D Human Pose Estimation

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3D Human Pose Estimation from RGB+D Images with Convolutional Neural Networks

Proceedings of the 2nd International Conference on Biomedical Engineering and Bioinformatics - ICBEB 2018 ◽

10.1145/3278198.3278225 ◽

2018 ◽

Author(s):

Yiheng Cai ◽

Xueyan Wang ◽

Xinran Kong

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Pose Estimation ◽

Human Pose Estimation ◽

3D Human Pose Estimation

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3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information

Lecture Notes in Computer Science - Computer Vision – ECCV 2016 Workshops ◽

10.1007/978-3-319-49409-8_15 ◽

2016 ◽

pp. 156-169 ◽

Author(s):

Sungheon Park ◽

Jihye Hwang ◽

Nojun Kwak

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Pose Estimation ◽

Human Pose Estimation ◽

3D Human Pose Estimation

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An RNN-Ensemble approach for Real Time Human Pose Estimation from Sparse IMUs

Proceedings of the 3rd International Conference on Applications of Intelligent Systems ◽

10.1145/3378184.3378228 ◽

2020 ◽

Author(s):

Deepak Nagaraj ◽

Erik Schake ◽

Patrick Leiner ◽

Dirk Werth

Keyword(s):

Real Time ◽

Pose Estimation ◽

Human Pose Estimation ◽

Ensemble Approach ◽

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