Tracking Multiple Objects Method Based on Harris Corner Sampling
基于角点采样的多目标跟踪方法

To track multiple objects which were occluded each other,a multi-target tracking method based on the sampled corners was proposed,which extracted Harris corner information as the training sample before occluding and used K nearest neighborhood (KNN) classifier to classify the corners in the occluding region. And this method can effectively distinct multiple targets through occlusion. In the process of extracting corners,the dual-threshold Harris corner detection algorithm was proposed. It can adaptively and accurately extract corners. The experimental results show that the proposed method can effectively track multiple objects which were occluded and didn't split up.