Explore MATLAB source code curated for "视频目标跟踪" with clean implementations, documentation, and examples.
Kalman Filter-based Real-time Human Tracking in MATLAB. Implementation of single moving object tracking in static backgrounds including dynamic prediction-correction cycles and measurement updates.
Application Background MATLAB-based video target tracking algorithms include single Gaussian background modeling which can be applied to pedestrian detection, target tracking, and vehicle detection. This simulation implements core algorithms like single Gaussian and Gaussian mixture models for motion detection, providing practical implementations suitable for real-world computer vision applications. Key Technologies This MATLAB simulation of video target tracking algorithms is highly valuable for learning, featuring main algorithms such as single Gaussian background modeling (implemented using statistical probability density functions) and Gaussian mixture models (GMM) for detecting moving objects with adaptive background updates.