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.
本论文主要研究了固定场景中多运动目标的检测及跟踪方法。
This thesis mainly research on the method of detecting and tracking of multiple objects in stationary scenes.
提出了一种基于模糊聚类和卡尔曼滤波的多运动目标检测的技术，并将其应用于车辆的检测与跟踪。
A kind of technique for detection of multiple moving objects based on fussy clustering and Kalman filtering was brought forward, and has been applied to vehicle detection and tracking.
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