理论分析和仿真检验都表明，该算法明显地提高了预测精度，减缓了图像的抖动和对操作者头部运动的限制，有效地减少了视觉延迟。
Theoretical analysis and simulation showed that this algorithm can improve the prediction precision, reduce the limitation to head motion, and decrease visual delay effectively.
对于检测到人体头部采用卡尔曼预测和基于目标匹配的数据关联方法进行多运动目标跟踪。
For the detected human heads kalman prediction and data association based on objective matching methods are used to track multiple moving objects.
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