└── README.md


/README.md:
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 1 | # PoseTrackPapers
 2 | 
 3 | ## Datasets
 4 | - PoseTrack [Paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Andriluka_PoseTrack_A_Benchmark_CVPR_2018_paper.pdf) [Address](https://posetrack.net/)
 5 | - JTA [Code](https://github.com/fabbrimatteo/JTA-Dataset)
 6 | 
 7 | ## 先验知识
 8 | - Simple Baselines for Human Pose Estimation and Tracking(2018ECCV): Optical Flow [Code](https://github.com/microsoft/human-pose-estimation.pytorch)
 9 | 
10 | - Pose Flow: Efficient Online Pose Tracking(2018BMVC)[Paper](https://arxiv.org/pdf/1802.00977.pdf) [Code](https://arxiv.org/abs/1802.00977)
11 | 
12 | - Towards Multi-Person Pose Tracking: Bottom-up and Top-down Methods [Paper](https://posetrack.net/workshops/iccv2017/pdfs/BUTD.pdf)
13 | 
14 | - Detect-and-Track: Efficient Pose Estimation in Videos(2018CVPR): [Paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Girdhar_Detect-and-Track_Efficient_Pose_CVPR_2018_paper.pdf) [Code](https://github.com/facebookresearch/DetectAndTrack/)
15 | 
16 | - Arttrack: Articulated multi-person tracking in the wild [Paper](https://arxiv.org/abs/1612.01465.pdf)
17 | 
18 | - PoseTrack: Joint Multi-Person Pose Estimation and Tracking(2017CVPR) [Paper](https://arxiv.org/pdf/1611.07727.pdf) [Code](https://github.com/iqbalu/PoseTrack-CVPR2017)
19 | 
20 | ## ReID method
21 | - FastPose: Towards Real-time Pose Estimation and Tracking via Scale-normalized Multi-task Networks [Paper](https://arxiv.org/pdf/1908.05593.pdf)
22 | 
23 | - LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking(CVPR2020)  [Paper](https://arxiv.org/pdf/1905.02822.pdf) [Code](https://github.com/Guanghan/lighttrack)
24 | 
25 | - 15 Keypoints Is All You Need (2019)[Paper](https://arxiv.org/abs/1912.02323) 
26 | 
27 | 
28 | ## 时空关系
29 | 
30 | - Global Pose Refinement using Bidirectional Long-Short Term Memory [Paper](https://posetrack.net/workshops/iccv2017/pdfs/MPR.pdf)
31 | 
32 | - JointFlow: Temporal Flow Fields for Multi Person Pose Tracking [Paper](https://arxiv.org/abs/1805.04596)
33 | 
34 | - Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World [Paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Matteo_Fabbri_Learning_to_Detect_ECCV_2018_paper.pdf)
35 | 
36 | - Multi-person Articulated Tracking with Spatial and Temporal Embeddings(2019CVPR) [Paper](https://arxiv.org/pdf/1903.09214.pdf)
37 | 
38 | - Efficient online multi-person 2d pose tracking with recurrent spatio-temporal affinity fields (CVPR 2019) [Paper](https://arxiv.org/pdf/1811.11975.pdf) [Code](https://github.com/soulslicer/openpose)
39 | 
40 | - Pose estimator and tracker using temporal flow maps for limbs [Paper](https://arxiv.org/pdf/1905.09500.pdf)
41 | 
42 | ## 万能的热力图
43 | - Combining detection and tracking for human pose estimation in videos[Paper](https://arxiv.org/pdf/2003.13743.pdf)
44 | 
45 | ## 3D pose tracking
46 | - Multi-person 3D Pose Estimation and Tracking in Sports [Paper](http://openaccess.thecvf.com/content_CVPRW_2019/papers/CVSports/Bridgeman_Multi-Person_3D_Pose_Estimation_and_Tracking_in_Sports_CVPRW_2019_paper.pdf)
47 | - Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS [Paper](https://openaccess.thecvf.com/content_CVPR_2020/papers/Chen_Cross-View_Tracking_for_Multi-Human_3D_Pose_Estimation_at_Over_100_CVPR_2020_paper.pdf)
48 | 
49 | ## Other
50 | 
51 | - Movement science needs different pose tracking algorithms [Paper](https://arxiv.org/pdf/1907.10226.pdf)
52 | 
53 | 


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