In object tracking, the parameters of the Kalman filter are adjusted and the object model is updated according to the similarity measure which indicates whether or not the object is occluded.

• 根据遮挡程度自适应地调整卡尔曼滤波器的参数和模型更新过程，提高了在遮挡情况下算法的鲁棒性。