Stairway segmentation using Gabor Filter and vanishing point

Danilo Cáceres Hernández, K. Jo
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引用次数: 15

Abstract

This paper we are proposing to detect the localization and recognition of an indoor stairway. This is a fundamental step in the implementing of autonomous stair climbing navigation, as well as the implementing of passive alarm systems intended for the blind and visually impaired. This method analyzes the edges of a stairway based on planar motion tracking and directional filters. The horizontal edges of the stairs are extracted by using the Gabor Filter. Then, the vanishing point is extracted from the specified set of line segments in the aim of facilitating the reconstruction of the stair treads. After this stage, we extract a hypothetical set of targets by using the correlation method. Finally, we employ the discrimination method to find the ground plane, using the behavioral distance measurement. Consequently, the remaining information is considered as an indoor stairway candidate region. As a result, testing is able to prove its effectiveness.
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楼梯分割使用Gabor滤波器和消失点
本文提出了一种室内楼梯的定位与识别检测方法。这是实现自主爬楼梯导航的基本步骤,也是实现针对盲人和视障人士的被动报警系统的基本步骤。该方法基于平面运动跟踪和方向滤波对楼梯的边缘进行分析。楼梯的水平边缘是通过使用Gabor过滤器提取的。然后,从指定的线段集合中提取消失点,以便于楼梯踏步的重建。在此阶段之后,我们使用相关方法提取一组假设的目标。最后,利用行为距离测量,采用判别法寻找地平面。因此,将剩余信息视为室内楼梯候选区域。因此,测试能够证明其有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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