Image and Object Detection Techniques
Image and Object Detection Techniques is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 22k research works in it since 1951. 16.4% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on robust line and curve detection using the Hough Transform, including techniques for line detection, circle and ellipse fitting, randomized algorithms, computer vision applications, edge detection, geometric fitting, and statistical optimization.
- Hough Transform
- Line Detection
- Circle Fitting
- Ellipse Detection
- Randomized Algorithm
- Computer Vision
- Edge Detection
- Geometric Fitting
- Real-time Detection
- Statistical Optimization
- Research works
- 22k fractional, since 1951
- In the world top 10%
- 3.7k per year above
- Top-10% rate
- 16.4% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +4% the tick is no change
Which countries lead Image and Object Detection Techniques research?
By volume, China and India publish the most (1.8k and 225 works in 2022–2025).
By volume, 2022–2025
- 1 China 1.8k works
- 2 India 225 works
- 3 United States 211 works
- 4 Germany 103 works
- 5 Japan 98 works
- 6 South Korea 81 works
- 7 Russia 74 works
- 8 United Kingdom 60 works
- 9 Indonesia 56 works
- 10 Türkiye 54 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 Image and Object Detection Techniques research?
By volume in 2022–2025, Harbin Institute of Technology publishes the most Image and Object Detection Techniques research, followed by Shanghai Jiao Tong University and Chinese Academy of Sciences.
By volume, 2022–2025
- 1 Harbin Institute of Technology China 29 works
- 2 Shanghai Jiao Tong University China 28 works
- 3 Chinese Academy of Sciences China 24 works
- 4 Nanjing University of Aeronautics and Astronautics China 22 works
- 5 Beijing Institute of Technology China 22 works
- 6 Beihang University China 21 works
- 7 Tsinghua University China 20 works
- 8 Huazhong University of Science and Technology China 20 works
- 9 Xi'an Jiaotong University China 19 works
- 10 Tongji University China 18 works
Who are the leading researchers in Image and Object Detection Techniques?
The most-cited researchers publishing on Image and Object Detection Techniques include Andrew Zisserman, Dragomir Anguelov and Jitendra Malik.
- 1 Andrew Zisserman 25k citations
- 2 Dragomir Anguelov 18k citations
- 3 Jitendra Malik 12k citations
- 4 Luc Van Gool 8.5k citations
- 5 Alan Yuille 8.4k citations
- 6 Anil K. Jain 6.3k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Image and Object Detection Techniques research done?
The largest centres of Image and Object Detection Techniques research in 2022–2025 are Beijing (China), Shanghai (China), Xi'an (China) and Wuhan (China). Among places with at least 20 works in it, it is an unusually large share of all research in Shenyang and Xi'an.
Largest cities, 2022–2025
Where it is the local speciality
- ShenyangCN · 43.2 works4.5×
- Xi'anCN · 108.0 works4.1×
Location quotient: how much more of its research is in Image and Object Detection Techniques than the world average.
Where is the best place to study Image and Object Detection Techniques?
Among universities, judged by research, Harbin Institute of Technology, Zhejiang Sci-Tech University and Wuhan University of Technology 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 | Harbin Institute of Technology China | 60.1 | 21.6% | 5.3× | 29 | +23.3% |
| 2 | Zhejiang Sci-Tech University China | 58.4 | 29.3% | 10.0× | 10 | -32.8% |
| 3 | Wuhan University of Technology China | 56.0 | 17.1% | 6.0× | 16 | +96.6% |
| 4 | Beihang University China | 55.0 | 20.5% | 5.5× | 21 | +33.6% |
| 5 | Shanghai Jiao Tong University China | 53.8 | 21.0% | 3.9× | 28 | -7.7% |
| 6 | Xi'an Jiaotong University China | 52.0 | 22.9% | 3.4× | 19 | +44.5% |
| 7 | Southeast University China | 50.5 | 22.5% | 3.6× | 16 | +21.8% |
| 8 | Northeastern University China | 49.8 | 24.9% | 6.0× | 18 | -45.4% |
| 9 | Northwestern Polytechnical University China | 49.6 | 35.7% | 3.5× | 14 | -44.7% |
| 10 | Tongji University China | 49.5 | 20.0% | 4.2× | 18 | +15.5% |
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 Image and Object Detection Techniques research growing?
Output in 2018–2022 was 4% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Image and Object Detection Techniques.
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.