Implementation of Covariance Tracking for Visual Object Tracking Research

This code implements covariance tracking for visual object tracking research, which integrates multiple spatiotemporal features into a unified model. The approach demonstrates strong robustness in visual tracking applications and maintains computational efficiency since its dimensionality equals the number of features used rather than their individual dimensions, resulting in lower complexity and better real-time performance.