Detection of Traffic and Road Condition Based on Adaboost

被引：0
|
作者：
Jia, Shijie [1 ]
Zhai, Yuting [1 ]
Jia, Xiaowei [2 ]
机构：
[1] Dalian Jiaotong Univ, Coll Elect & Informat, Dalian 116028, Peoples R China
[2] Shandong Coll Informat Technol, Weifang 261061, Shandong, Peoples R China
来源：
ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING II, PTS 1-3 | 2013年 / 433-435卷
关键词：
Traffic and road condition detect; Adaboost; PHOG;
D O I：
10.4028/www.scientific.net/AMM.433-435.1357
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to avoid the drawbacks of physical detection methods, such as spoiling the road, having complex algorithms and affected by weather factors, the detection methods of traffic and road condition are explored using the Adaboost algorithm and its three variants based on PHOG (pyramid histogram of edge orientation gradients) image feature. Experimental results show that this method can effectively classify 4 types of traffic and road condition images, and Gentle Adaboost algorithm has the best performance for the noisy samples.
引用
收藏
页码：1357 / +
页数：2
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