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Cascaded Pyramid Network for Multi-Person Pose Estimation [article]

Yilun Chen, Zhicheng Wang, Yuxiang Peng, Zhiqiang Zhang, Gang Yu, Jian Sun
2018 arXiv   pre-print
The topic of multi-person pose estimation has been largely improved recently, especially with the development of convolutional neural network.  ...  In general, to address the multi-person pose estimation problem, a top-down pipeline is adopted to first generate a set of human bounding boxes based on a detector, followed by our CPN for keypoint localization  ...  Based on our Cascaded Pyramid Network, we address the multi-person pose estimation problem based on a topdown pipeline.  ... 
arXiv:1711.07319v2 fatcat:yhgdkt7skndcperrek26z5czom

Cascaded Pyramid Network for Multi-person Pose Estimation

Yilun Chen, Zhicheng Wang, Yuxiang Peng, Zhiqiang Zhang, Gang Yu, Jian Sun
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
The topic of multi-person pose estimation has been largely improved recently, especially with the development of convolutional neural network.  ...  In general, to address the multi-person pose estimation problem, a top-down pipeline is adopted to first generate a set of human bounding boxes based on a detector, followed by our CPN for keypoint localization  ...  Based on our Cascaded Pyramid Network, we address the multi-person pose estimation problem based on a topdown pipeline.  ... 
doi:10.1109/cvpr.2018.00742 dblp:conf/cvpr/ChenWPZYS18 fatcat:wx7qetrpvbemveoc52l3pkdgfi

Multi-person Pose Estimation for Pose Tracking with Enhanced Cascaded Pyramid Network [chapter]

Dongdong Yu, Kai Su, Jia Sun, Changhu Wang
2019 Landolt-Börnstein - Group III Condensed Matter  
Our proposed method builds upon the state-of-theart single person pose estimation system (Cascaded Pyramid Network), and adopts the IOU-tracker module to identify the people in the wild.  ...  We conduct experiments on the released multi-person video pose estimation benchmark(PoseTrack2018) to validate the effectiveness of our network.  ...  For the multi-person pose estimation, based on the Cascaded Pyramid Network, we design a shuffle unit to fuse the pyramid feature maps and an attention unit to extract more representative feature maps.  ... 
doi:10.1007/978-3-030-11012-3_19 fatcat:aowhdc6ua5gmhgdo7iubqv5tje

OmniPose: A Multi-Scale Framework for Multi-Person Pose Estimation [article]

Bruno Artacho, Andreas Savakis
2021 arXiv   pre-print
We propose OmniPose, a single-pass, end-to-end trainable framework, that achieves state-of-the-art results for multi-person pose estimation.  ...  Our results on multiple datasets demonstrate that OmniPose, with an improved HRNet backbone and waterfall module, is a robust and efficient architecture for multi-person pose estimation that achieves state-of-the-art  ...  Conclusion We presented the OmniPose framework for multi-person pose estimation.  ... 
arXiv:2103.10180v1 fatcat:lxxogynllbaf5ia4znpypchiku

Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information [article]

Kai Su, Dongdong Yu, Zhenqi Xu, Xin Geng, Changhu Wang
2019 arXiv   pre-print
In this paper, we propose two novel modules to perform the enhancement of the information for the multi-person pose estimation.  ...  Multi-person pose estimation is an important but challenging problem in computer vision.  ...  Pyramid Network Cascaded Pyramid Network (CPN) [3] is a two-step network structure for the human pose estimation.  ... 
arXiv:1905.03466v1 fatcat:mskqtosvyrh7boggztn5t6n65e

OCPAN: Multi-Person Pose Estimation with More Attention on Residual Information

Hsinchuan Lin, Jiaying Zhu, Haifeng Hu
2020 Electronics Letters  
Introduction: Thanks to the rapid development of deep convolutional neural networks, recent years have witnessed the significant progress of multi-person pose estimation [1-3].  ...  Redundant information generated in the process of feature fusion and residual information always remain challenging in multi-person pose estimation.  ...  Second, for each human bounding box, we assume that there is only one person and then apply our proposed pose estimation network to generate the final prediction.  ... 
doi:10.1049/el.2019.4171 fatcat:32vqbidrbffuzgyhl6ftjjawdm

A Context-and-Spatial Aware Network for Multi-Person Pose Estimation [article]

Dongdong Yu, Kai Su, Xin Geng, Changhu Wang
2019 arXiv   pre-print
Multi-person pose estimation is a fundamental yet challenging task in computer vision.  ...  Both rich context information and spatial information are required to precisely locate the keypoints for all persons in an image.  ...  Multi-person Pose Estimation Recently, significant progress has been made in multi-person pose estimation with the development of CNN.  ... 
arXiv:1905.05355v1 fatcat:xzogbkotuje4zoxwrqyaawom34

Efficient Human Pose Estimation by Learning Deeply Aggregated Representations [article]

Zhengxiong Luo, Zhicheng Wang, Yuanhao Cai, Guanan Wang, Yan Huang, Liang Wang, Erjin Zhou, Tieniu Tan, Jian Sun
2020 arXiv   pre-print
In this paper, we propose an efficient human pose estimation network (DANet) by learning deeply aggregated representations.  ...  than that of cascaded networks.  ...  Fig. 2 . 2 Different framework for human pose pose estimation. (a) Cascaded Pyramid Network, (b) Single Pyramid Network.  ... 
arXiv:2012.07033v2 fatcat:27zbaiwmjrbexflki2ebvqxvzu

Cascaded Pyramid Network for 3D Human Pose Estimation Challenge [article]

Sungeun Hong, Wonjin Jung, Ilsang Woo, Seung Wook Kim
2018 arXiv   pre-print
Over the past decade, there has been a growing interest in human pose estimation. Although much work has been done on 2D pose estimation, 3D pose estimation has still been relatively studied less.  ...  GloabalNet and RefineNet in our 2D pose estimation process enable us to find occluded or invisible 2D joints while 2D-to-3D pose estimator composed of residual blocks is used to lift 2D joints to 3D joints  ...  Conclusions We propose a 3D pose estimator based on two-stage strategy composed of cascaded pyramid networks for 2D pose estimation, and residual blocks for 2D-to-3D estimation.  ... 
arXiv:1810.01616v1 fatcat:lfpaonuvurcjjpo3ugdlxusduq

UniPose: Unified Human Pose Estimation in Single Images and Videos [article]

Bruno Artacho, Andreas Savakis
2020 arXiv   pre-print
single person pose detection for both single images and videos.  ...  Additionally, our method is extended to UniPose-LSTM for multi-frame processing and achieves state-of-the-art results for temporal pose estimation in Video.  ...  Stacked hourglass networks [28] utilized cascades of the hourglass structure for the pose estimation task.  ... 
arXiv:2001.08095v1 fatcat:m4gplonkgjbvfadpaokvpam4c4

Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information

Kai Su, Dongdong Yu, Zhenqi Xu, Xin Geng, Changhu Wang
2019 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
In this paper, we propose two novel modules to perform the enhancement of the information for the multi-person pose estimation.  ...  Multi-person pose estimation is an important but challenging problem in computer vision.  ...  Pyramid Network Cascaded Pyramid Network (CPN) [3] is a two-step network structure for the human pose estimation.  ... 
doi:10.1109/cvpr.2019.00582 dblp:conf/cvpr/SuYXGW19 fatcat:hvzbfl3wxzgthex6jig4hufvyy

Efficient Human Pose Estimation by Maximizing Fusion and High-Level Spatial Attention [article]

Zhiyuan Ren, Yaohai Zhou, Yizhe Chen, Ruisong Zhou, Yayu Gao
2021 arXiv   pre-print
In this paper, we propose an efficient human pose estimation network -- SFM (slender fusion model) by fusing multi-level features and adding lightweight attention blocks -- HSA (High-Level Spatial Attention  ...  With the help of SFM and HSA, our network is able to generate multi-level feature and extract precise global spatial information with little computing resource.  ...  Cascaded Pyramid Network It was firstly proposed in [14] for Multi-person Pose Estimation [15] .  ... 
arXiv:2107.13693v1 fatcat:k5l5pipz7bgazgycxy6w5uvxqi

UniPose: Unified Human Pose Estimation in Single Images and Videos

Bruno Artacho, Andreas Savakis
2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
single person pose detection for both single images and videos.  ...  Additionally, our method is extended to UniPose-LSTM for multi-frame processing and achieves state-of-the-art results for temporal pose estimation in Video.  ...  Stacked hourglass networks [31] utilized cascades of the hourglass structure for the pose estimation task.  ... 
doi:10.1109/cvpr42600.2020.00706 dblp:conf/cvpr/ArtachoS20 fatcat:544vyz7fyfg4viqn5llskbetzu

Single upper limb pose estimation method based on improved stacked hourglass network [article]

Gang Peng, Yuezhi Zheng, Jianfeng Li, Jin Yang, Zhonghua Deng
2020 arXiv   pre-print
For use in human-machine cooperative operations, this paper proposes a single-person upper limb pose estimation method based on an end-to-end approach for accurate and real-time limb pose estimation.  ...  However, a single-person pose estimation method with high real-time performance also needs to improve its accuracy due to the simple structure of the network model.  ...  For the single upper limb pose estimation method in cascade mode, the YOLOv3 network model was finetuned on the self-made training set, and the single upper limb pose estimation experiment was performed  ... 
arXiv:2004.07456v1 fatcat:joybz45q3ncgtkgegvtskl4pme

BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations [article]

Bruno Artacho, Andreas Savakis
2021 arXiv   pre-print
We propose BAPose, a novel bottom-up approach that achieves state-of-the-art results for multi-person pose estimation.  ...  Our results on the challenging COCO and CrowdPose datasets demonstrate that BAPose is an efficient and robust framework for multi-person pose estimation, achieving significant improvements on state-of-the-art  ...  Person- graph grouping for multi-person pose estimation.  ... 
arXiv:2112.10716v1 fatcat:oqnfato4qrd5jfjm35wu4ipupi
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