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Tracking-Learning-Detection(TLD)跟踪算法具有良好的长时跟踪能力,但是,当目标出现严重遮挡的时候,容易造成跟踪目标丢失。针对这一问题,本文提出一种基于卡尔曼滤波的抗遮挡TLD跟踪算法,从而解决遮挡情况下的目标丢失问题。
Tracking-Learning-Detection (TLD) tracking algorithm has good long-time tracking capability, but when the target appears serious occlusion, it is easy to cause the tracking target to be lost. In order to solve this problem, this paper proposes an anti-occlusion TLD tracking algorithm based on Kalman filter, so as to solve the problem of target loss under occlusion.