Video Surveillance and Tracking Methods
Video Surveillance and Tracking Methods is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 47k research works in it since 1958. 9.7% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on visual object tracking and person re-identification, covering topics such as background subtraction, convolutional neural networks, real-time tracking, deep learning, foreground segmentation, multiple object tracking, and motion detection.
- Visual Tracking
- Object Tracking
- Person Re-identification
- Background Subtraction
- Convolutional Neural Networks
- Real-time Tracking
- Deep Learning
- Foreground Segmentation
- Multiple Object Tracking
- Motion Detection
- Research works
- 47k fractional, since 1958
- In the world top 10%
- 4.5k per year above
- Top-10% rate
- 9.7% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +29% the tick is no change
- Largest producer
China
62% of the 10 largest, 2022-now
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