Human pose estimation with multiple mixture parts model based on upper body categories-Reference-Cited by-同舟云学术

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Human pose estimation with multiple mixture parts model based on upper body categories

Published:2015-08-28 Issue:4 Volume:24 Page:043021
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:en
Short-container-title:J. Electron. Imaging

Author:

Zhu Aichun¹,Snoussi Hichem¹,Wang Tian²,Cherouat Abel³

Affiliation:

1. Université de Technologie de Troyes, ICD-LM2S, UMR STMR CNRS, 12 rue Marie Curie, CS 42060, Troyes 10004, France

2. Beihang University, School of Automation Science and Electrical Engineering, No. 37 XueYuan Road, HaiDian District, Beijing 100191, China

3. Université de Technologie de Troyes, ICD-GAMMA3, UMR STMR CNRS, 12 rue Marie Curie, CS 42060, Troyes 10004, France

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Reference29 articles.

1. Mixing body-part sequences for human pose estimation;Cherian,2014

2. MODEC: Multimodal Decomposable Models for Human Pose Estimation

3. Cascaded models for articulated pose estimation;Sapp,2010

4. Articulated pose estimation with flexible mixtures-of-parts;Yang,2011

5. Exploring the spatial hierarchy of mixture models for human pose estimation;Tian,2012

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Feature difference and feature correlation learning mechanism for skeleton-based action recognition;Journal of Electronic Imaging;2023-01-30

2. Pose-Guided Inflated 3D ConvNet for action recognition in videos;Signal Processing: Image Communication;2021-02

3. Exploring a rich spatial–temporal dependent relational model for skeleton-based action recognition by bidirectional LSTM-CNN;Neurocomputing;2020-11

4. Learning spatial–temporal features via a pose-flow relational model for action recognition;AIP Advances;2020-07-01

5. Multiple human upper bodies detection via candidate-region convolutional neural network;Multimedia Tools and Applications;2018-12-13

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