国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

To cope with the failure in continuously tracking in complex road scenes caused by vehicle scale changes, occlusion and rotation with the kernel correlation filtering algorithm (KCF), a new tracking method is proposed to better realize vehicle tracking under complex road scenes. Making reference to the fast discriminative spatial tracker(fDSST), this method makes scale estimations by adopting the one-dimensional scale correlation filter. Meanwhile, the Kalman filter is used to set up a prediction-tracking-calibration tracking mechanism. In the aid of an occlusion processing, it could keep a high accuracy of the system even the target is severely occluded. In terms of model updating, the learning rate parameter is adaptively adjusted, and problems like model offset and feature lose are solved in time when the target is occluded. The experimental results show that the proposed tracking method can effectively track the target vehicle when the vehicle rotates, occludes and scales in complex road scenes, thus has good robustness.