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基于角点采样的多目标跟踪方法

刘闯1, 龚声蓉1, 崔志明1, 刘纯平1, 夏侯玉娇1(苏州大学计算机科学与技术学院,苏州 215006)

摘 要
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.
关键词
Tracking Multiple Objects Method Based on Harris Corner Sampling

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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.
Keywords

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