首页> 外国专利> TARGET TRACKING METHOD USING MULTI-SCAN TRACKING SCHEME BASED ON MARKOV CHAIN MODEL AND TARGET TRACKING DEVICE USING SAME

TARGET TRACKING METHOD USING MULTI-SCAN TRACKING SCHEME BASED ON MARKOV CHAIN MODEL AND TARGET TRACKING DEVICE USING SAME

机译:基于马尔可夫链模型的多扫描跟踪方案与目标跟踪装置的目标跟踪方法

摘要

The present invention relates to a target tracking method for tracking a target and a target tracking device using the same. The target tracking method includes: a step of predicting the location of a target; a step of tracking the target by connecting each target signal, which is inputted every hour from a sensor unit which senses the target, to a component using the predicted location of the target; a step of, while the target is being tracked, calculating a track score to evaluate the tracking performance of a track as a probability index to measure the reliability of an ongoing track based on a Markov chain model in which a hypothesis about the existence of a target signal and a hypothesis about a blind situation are applied and updating data about the target to target the target using the Markov chain model; a step of merging or removing a component of the track using the Markov chain model; and a step of removing the track if the calculated track score is smaller than a predefined threshold value or confirming and maintaining the track if the score is equal to or greater than the predefined threshold value. By doing so, the present invention is able to track a target even after the target gets out of a blind environment, thereby improving solidity in tracking a target.;COPYRIGHT KIPO 2014;[Reference numerals] (AA) Remove a track; (S110) Prediction step; (S120) Step of connecting components among signals; (S130) Update step; (S140) Component management step; (S150) Track management step; (S160) Track score Th
机译:目标跟踪方法和目标跟踪设备技术领域本发明涉及用于跟踪目标的目标跟踪方法和使用该方法的目标跟踪设备。目标跟踪方法包括:预测目标位置的步骤;通过使用目标的预测位置将每小时从感测目标的传感器单元输入的每个目标信号连接到组件来跟踪目标的步骤;步骤:在跟踪目标的同时,基于马尔可夫链模型计算轨道得分,以评估轨道的跟踪性能,以此作为概率指数来衡量正在进行的轨道的可靠性,在该模型中,关于目标存在的假设应用目标信号和关于盲态的假设,并使用马尔可夫链模型将目标的相关数据更新为目标。使用马尔可夫链模型合并或删除轨道的一部分的步骤;如果计算出的轨迹分数小于预定阈值,则去除轨迹;或者如果分数等于或大于预定阈值,则确认并维持轨迹。通过这样做,即使在目标脱离盲目环境之后,本发明也能够跟踪目标,从而提高跟踪目标的可靠性。COPYRIGHT KIPO 2014; [AA]去除轨道; (S110)预测步骤; (S120)在信号之间连接组件的步骤; (S130)更新步骤; (S140)组件管理步骤; (S150)跟踪管理步骤; (S160)曲目分数> Th

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