An algorithm based on SVM ensembles for motorcycle recognition

被引：0
|
作者：
Wen, Xuezhi [1 ]
Yuan, Huai [1 ]
Song, Chunyan [2 ]
Liu, Wei [1 ]
Zhao, Hong [1 ]
机构：
[1] Northeastern Univ, Software Ctr, Shenyang 110179, Peoples R China
[2] Northeastern Univ, Coll Sci, Shenyang 110179, Peoples R China
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON VEHICULAR ELECTRONICS AND SAFETY, PROCEEDINGS | 2007年
基金：
国家高技术研究发展计划(863计划);
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A motorcycle detection algorithm is proposed to solve imbalanced datasets in motorcycle recognition based on SVM ensembles. Moreover, an improved Wavelet feature algorithm is also presented. Experimental results show that the presented method has high precision and recall. Furthermore, the system performance can also be improved by increasing learning.
引用
收藏
页码：137 / +
页数：3
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