基于时空多视点几何的异常驾驶检测

Kota Saruwatari, Fumihiko Sakaue, J. Sato
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引用次数: 13

摘要

在本文中,我们提出了一种检测车辆异常驾驶的方法,如蜿蜒、横向运动和加减速。特别地,我们利用时空图像中的多线性关系提取群体行为意义上的异常车辆运动。当多台摄像机以不同的速度沿不同的方向进行平移运动时,时空图像中的多线性关系保持不变。因此,非匀速平移运动的异常驱动不符合要求,时空图像中的多线性关系不成立。我们关注这一特性,并定义异常程度,用于检测异常驾驶。实际图像实验证明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of abnormal driving using multiple view geometry in space-time
In this paper, we propose a method for detecting abnormal driving of vehicles, such as meandering, transverse motion and acceleration/deceleration. In particular, we extract abnormal vehicle motions in the sense of group behavior by using multilinear relationship in space-time images. The multilinear relationship in space-time images holds when multiple cameras move with translational motions in different direction with different speed. Therefore abnormal drivings, which are not translational motion with uniform velocity, do not meet the requirement, and the multilinear relationship in space-time images does not hold. We focus on this property, and define the degree of abnormality, which is used for detecting abnormal drivings. The efficiency of the proposed method is shown by real image experiments.
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