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