Pedestrian classification based on radial velocity features of UWB Doppler radar images
Pedestrian classification based on radial velocity features of UWB Doppler radar images
复制标题
DOI：
--
复制
发表时间：
2012-12
期刊：
影响因子：
--
通讯作者：
K. Saho;T. Sakamoto;T. Sato;K. Inoue;T. Fukuda
中科院分区：
文献类型：
--
作者：
K. Saho;T. Sakamoto;T. Sato;K. Inoue;T. Fukuda
利用低复杂度雷达对人进行成像和识别是一种很有前途的监视系统技术。利用时频微多普勒特征[1]-[4]进行目标识别方法的开发已经进行了许多研究。这些常规的方法可以实现运动类型的分类，如跑步、坐着、走路和走路，而不需要手臂运动。但是，要使用这些方法进行准确分类，需要可靠的长期数据或耗时的程序，其准确性和实时性不足。为了解决这个问题，使用形状和运动信息是一种选择。为此，我们提出了一种干涉测量的超宽带（UWB）多普勒雷达成像方法。该方法利用三根接收天线在真实环境下实现了充分的实时三维人体成像。本文给出了超宽带多普勒雷达成像方法对各种行人的成像结果，并根据估计图像的径向速度特征提出了行人的分类参数。实验验证了该方法对三种类型的行人进行了有效的分类。
Imaging and identification of people using low-complexity radar is a promising technique for surveillance systems. Many studies have been conducted on the development of target identification methods using time-frequency micro-Doppler signatures [1]-[4]. These conventional methods can realize classification of motion types such as running, sitting, walking and walking without arm-motion. However, for accurate classification using these methods, reliable and long-term data or time-consuming procedures are needed, and their accuracy and real-time capability are thus inadequate. To resolve this problem, the use of shape and motion information is an option. For this purpose, we have proposed an ultra wide-band (UWB) Doppler radar imaging method with interferometry [5]. This method achieved adequate and real-time 3-dimensional human imaging with three receiving antennas in a realistic situation. This paper presents the imaging results on a variety of pedestrians using the UWB Doppler radar imaging method, and proposes their classification parameters based on a radial velocity feature of the estimated image. We experimentally verify that an effective classification for three types of pedestrians is achieved.