DeepSegment: Segmentation of motion capture data using deep convolutional neural network-Reference-Cited by-同舟云学术

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DeepSegment: Segmentation of motion capture data using deep convolutional neural network

Published:2021-05 Issue: Volume:109 Page:104147
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Yasin Hashim,Hayat Saqib

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference47 articles.

1. Motion segmentation via generalized curvatures;Arn;IEEE Trans. Pattern Anal. Mach. Intell.,2019

2. Segmenting motion capture data into distinct behaviors;Barbic,2004

3. Action graph a versatile data structure for action recognition;Baumann,2014

4. Motion recognition for 3d human motion capture data using support vector machines with rejection determination;Cai;Multimed. Tools Appl.,2014

5. Fine-grained semantic segmentation of motion capture data using dilated temporal fully-convolutional networks;Cheema,2019

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1. Human Motion Capture Data Segmentation Based on ST-GCN;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. An Effective and Efficient Approach for 3D Recovery of Human Motion Capture Data;Sensors;2023-03-31

3. Application of Fine Motion Capture Method for Tai Chi Chuan Assistant Training;Journal of Sensors;2022-05-13

4. New End-to-End Strategy Based on DeepLabv3+ Semantic Segmentation for Human Head Detection;Sensors;2021-08-30

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