Subtraction-based general forward obstacle detection from in-vehicle camera images using extended census transform

被引：0

作者：

Kyutoku H. ^{[1
]}

Deguchi D. ^{[1
]}

Takahashi T. ^{[1
]}

Mekada Y. ^{[1
]}

Ide I. ^{[1
]}

Murase H. ^{[1
]}

机构：

[1] Graduate School of Information Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi

来源：

IEEJ Trans. Electron. Inf. Syst. | / 4卷 / 588-589期

基金：

日本学术振兴会;

关键词：

In-Vehicle Camera; ITS; Obstacle Detection; Subtraction;

D O I：

10.1541/ieejeiss.136.588

中图分类号：

TB85 [摄影机具与设备];

学科分类号：

摘要：

This paper proposes a method for detecting general obstacles on a road by subtracting a present in-vehicle camera image sequence from its corresponding past image sequences using an illumination insensitive feature. We conducted experiments using several image sequences captured under various illumination conditions, and confirmed the effectiveneb of the proposed method. © 2016 The Institute of Electrical Engineers of Japan.

引用

页码：588 / 589

页数：1

共 3 条

[1]

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[2]

Kyutoku H., Deguchi D., Takahashi T., Mekada Y., Ide I., Murase H., Subtraction-based forward obstacle detection using illumination insensitive feature for driving-support, Proc. ECCV 2012 Workshops and Demonstrations, Part II, Lecture Notes in Computer Science, 7584, pp. 515-525, (2012)

[3]

Zabih R., Woodfill J., Non-parametric local transforms for computing visual correspondence, Proc. 3rd European Conf. of Computer Vision, Vol.2, Lecture Notes in Computer Science, 801, pp. 151-158, (1994)

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