Multiple-window Bag of Features for Road Environment Recognition

被引：0

作者：

Morita, Shou ^{[1
]}

Tan, Joo Kooi ^{[1
]}

Kim, Hyoungseop ^{[1
]}

Ishikawa, Seiji ^{[1
]}

机构：

[1] Kyushu Inst Technol, Dept Mech & Control Engn, Sensuicho 1-1, Kitakyushu, Fukuoka 8048550, Japan

来源：

JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE | 2014年 / 1卷 / 02期

关键词：

Object recognition; bag of features; multiple-windows; VLAD; computer vision;

D O I：

10.2991/jrnal.2014.1.2.13

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

The idea of Bag of Features (BoF) is recently often employed for general object recognition. But, as it does not take positional relations of detected features into account, the recognition rate is still not very high for practical use. This paper proposes a method of describing the feature of an object by the BoF representation which considers positional information of the features. Although the original BoF representation is applied to an entire image, the proposed method employs multiple windows on an image. The BoF representation is applied to each of the windows to represent an object in the image interested for recognition. The performance of the proposed method is shown experimentally.

引用

页码：160 / 163

页数：4

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