Multiple target tracking and separation technique based on texture information in range-time image using ultra-wideband radar
Multiple target tracking and separation technique based on texture information in range-time image using ultra-wideband radar
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发表时间：
2016-10
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通讯作者：
Takuro Sato;T. Sakamoto;Shigeaki Okumura;Toru Sato
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作者：
Takuro Sato;T. Sakamoto;Shigeaki Okumura;Toru Sato
使用超宽带（UWB）雷达的多目标跟踪和分离技术在机器人和安全相关应用中具有广阔的应用前景。提出了一些利用雷达纹理信息跟踪和分离多目标回波的方法。然而，传统的方法由于其迭代性而不能在实时应用中实现。为了解决这个问题，我们提出了一种可以在实时应用中使用的技术。首先，我们使用纹理方法估计所需的目标速度，并使用扩展的纹理方法确定多个目标的速度，该方法可以确定两个目标的速度。其次，我们估计每个像素上存在的目标数量。最后，我们根据每个像素的估计速度和位置标记每个像素以关联像素。通过实测，该方法成功地实现了对两名行人回波的实时准确跟踪和分离。
Multiple target tracking and separation techniques using ultra-wide-band (UWB) radar are promising for use in robotic and security-related applications. Some methods for tracking and separation of echoes from multiple targets using radar texture information have been proposed. However, the conventional methods cannot be implemented in real time applications due to its iterative nature. To resolve this problem, we propose a technique that can be used in real time applications. First, we estimate the required target velocities using the texture method and multiple target velocities using an extended texture method that can determine the velocities of two targets. Second, we estimate the number of targets that exist at each pixel. Finally, we label each pixel to associate pixels based on their estimated velocities and positions. Through measurements, the proposed method succeeded in accurately tracking and separating the echoes from two pedestrians in real time.