Abstract: A part-based tracking method is proposed to address the occlusion issue in object tracking by using parts of the object as the tracking objects.Parameters of each part are predicted by an independent Kalman filter and corrected by kernel-based histogram which is used to describe the part.Experimental results show that this method can effectively overcome problems caused by the occlusion，the non-rigid deformation and the relative motion in a tracking object.Meanwhile，they also prove that the method achieves good performance in real-time object tracking.

摘要： 针对视频序列中出现的遮挡等问题，提出了一种基于部件的对象跟踪方法。该方法将目标中的多个部件作为跟踪对象，采用基于核的灰度直方图来描述跟踪对象中的各个部件，通过卡尔曼滤波器预测部件的参数，继而利用直方图进行修正，以完成跟踪。实验证明，基于部件的跟踪方法不但能够有效地克服遮挡问题，而且能克服对象内部存在的相对运动以及非刚体变形等问题，具有良好的实时性和很好的跟踪效果。