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http://dx.doi.org/10.5392/JKCA.2019.19.01.125

Method for Road Vanishing Point Detection Using DNN and Hog Feature  

Yoon, Dae-Eun (숭실대학교 미디어학과)
Choi, Hyung-Il (숭실대학교 미디어학과)
Publication Information
The Journal of the Korea Contents Association / v.19, no.1, 2019 , pp. 125-131 More about this Journal
Abstract
A vanishing point is a point on an image to which parallel lines projected from a real space gather. A vanishing point in a road space provides important spatial information. It is possible to improve the position of an extracted lane or generate a depth map image using a vanishing point in the road space. In this paper, we propose a method of detecting vanishing points on images taken from a vehicle's point of view using Deep Neural Network (DNN) and Histogram of Oriented Gradient (HoG). The proposed algorithm is divided into a HoG feature extraction step, in which the edge direction is extracted by dividing an image into blocks, a DNN learning step, and a test step. In the learning stage, learning is performed using 2,300 road images taken from a vehicle's point of views. In the test phase, the efficiency of the proposed algorithm using the Normalized Euclidean Distance (NormDist) method is measured.
Keywords
Vanishing Point; DNN; HoG Feature; NormDist;
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