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MULTIPLE TARGET TRACKING METHOD USING KINEMATICS AND FEATURE INFORMATION

机译:利用运动学和特征信息的多目标跟踪方法

摘要

The present invention relates to a multiple target tracking method, more particularly, to a multiple target tracking method using distance information of a target, feature information-based Kalman filter, and joint probability data-association (JPDA) method. According to the present invention, a JPDA method generates not only normalized distance squared (NDS) distance information but also an effective matrix through dual conditions based on the correlation information of an image. By using this, the identification of other objects, which closely exist, can be possible and the complexity decreases as the number of cases which are taken into account decrease.;COPYRIGHT KIPO 2014
机译:本发明涉及一种多目标跟踪方法,更具体地,涉及一种使用目标的距离信息,基于特征信息的卡尔曼滤波器和联合概率数据关联(JPDA)方法的多目标跟踪方法。根据本发明,JPDA方法不仅基于图像的相关性信息通过双重条件生成归一化距离平方(NDS)距离信息,而且还生成有效矩阵。通过使用此方法,可以识别紧密存在的其他对象,并且随着考虑的案例数减少,复杂性也随之降低。; COPYRIGHT KIPO 2014

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