Introduction to TLD

TLD (Tracking-Learning-Detection) is a new single-target long term tracking algorithm proposed by Zdenek Kalal, a Czech PhD student at the University of Surrey, UK, during his PhD studies. The significant difference between this algorithm and traditional tracking algorithms is that it combines traditional tracking algorithms with traditional detection algorithms to solve the problems of deformation and partial occlusion of the tracked target during the tracking process. At the same time, through an improved online learning mechanism, the tracking module's "significant feature points" and the detection module's target model and related parameters are constantly updated, thus making the tracking effect more stable and reliable.