Human Pose and Action Recognition
Human Pose and Action Recognition is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 29k research works in it since 1969. 22.7% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the development and application of deep learning techniques for human action recognition and pose estimation. It covers topics such as spatiotemporal feature learning, convolutional networks, 3D human pose estimation, skeleton-based recognition, and video classification. The research aims to advance the understanding and accurate detection of human actions in various environments.
- Action Recognition
- Pose Estimation
- Spatiotemporal Features
- Convolutional Networks
- 3D Human Pose
- Skeleton-Based Recognition
- Video Classification
- Deep Learning
- Human Activity Analysis
- Temporal Convolutional Networks
- Research works
- 29k fractional, since 1969
- In the world top 10%
- 6.6k per year above
- Top-10% rate
- 22.7% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +97% the tick is no change
Which countries lead Human Pose and Action Recognition research?
By volume, China and India publish the most (4.6k and 1.1k works in 2022–2025).
By volume, 2022–2025
- 1 China 4.6k works
- 2 India 1.1k works
- 3 United States 903 works
- 4 Japan 402 works
- 5 South Korea 377 works
- 6 United Kingdom 275 works
- 7 Germany 272 works
- 8 Italy 162 works
- 9 Canada 158 works
- 10 France 153 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Human Pose and Action Recognition research?
By volume in 2022–2025, Tsinghua University publishes the most Human Pose and Action Recognition research, followed by Beijing University of Posts and Telecommunications and Shanghai Jiao Tong University.
By volume, 2022–2025
- 1 Tsinghua UniversityChina 95 works
- 2 Beijing University of Posts and TelecommunicationsChina 83 works
- 3 Shanghai Jiao Tong UniversityChina 82 works
- 4 Zhejiang UniversityChina 76 works
- 5 University of Science and Technology of ChinaChina 75 works
- 6 Chinese Academy of SciencesChina 70 works
- 7 Peking UniversityChina 70 works
- 8 Beijing Institute of TechnologyChina 64 works
- 9 Sun Yat-sen UniversityChina 62 works
- 10 University of Electronic Science and Technology of ChinaChina 60 works
Who are the leading researchers in Human Pose and Action Recognition?
The most-cited researchers publishing on Human Pose and Action Recognition include Andrew Zisserman, Karen Simonyan and Piotr Dollár.
- 1 Andrew Zisserman United Kingdom 25k citations
- 2 Karen Simonyan United States 23k citations
- 3 Piotr Dollár Israel 20k citations
- 4 Dragomir Anguelov United States 18k citations
- 5 Kaiming He Israel 17k citations
- 6 Li Fei-Fei United States 17k citations
- 7 Serge Belongie United States 14k citations
- 8 Xiaogang Wang Russia 13k citations
- 9 Jitendra Malik United States 12k citations
- 10 Tsung-Yi Lin United States 11k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Human Pose and Action Recognition research done?
The largest centres of Human Pose and Action Recognition research in 2022–2025 are Beijing (China), Shanghai (China), Xi'an (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Shenzhen.
Largest cities, 2022–2025
Where it is the local speciality
- ShenzhenCN · 177.0 works5.1×
Location quotient: how much more of its research is in Human Pose and Action Recognition than the world average.
Where is the best place to study Human Pose and Action Recognition?
Among universities, judged by research, Beijing University of Posts and Telecommunications, Air University and University of Science and Technology of China score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Beijing University of Posts and TelecommunicationsChina | 65.7 | 14.6% | 13.2× | 83 | +200.7% |
| 2 | Air UniversityPakistan | 59.8 | 42.9% | 28.1× | 17 | — |
| 3 | University of Science and Technology of ChinaChina | 59.2 | 23.7% | 6.2× | 75 | +308.6% |
| 4 | University of AizuJapan | 56.6 | 39.2% | 20.0× | 9 | +136.0% |
| 5 | Tsinghua UniversityChina | 55.7 | 29.7% | 4.8× | 95 | +128.4% |
| 6 | Peking UniversityChina | 54.2 | 33.4% | 4.4× | 70 | +125.8% |
| 7 | Carnegie Mellon UniversityUnited States | 53.7 | 37.6% | 7.8× | 32 | +41.3% |
| 8 | University of Electronic Science and Technology of ChinaChina | 53.3 | 20.3% | 5.2× | 60 | +334.7% |
| 9 | Nanyang Technological UniversitySingapore | 53.3 | 38.5% | 5.6× | 46 | -6.9% |
| 10 | Xidian UniversityChina | 53.2 | 23.6% | 7.3× | 54 | +100.7% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Human Pose and Action Recognition research growing?
Output in 2018–2022 was 97% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Human Pose and Action Recognition.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.