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.
Abstract
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.