Lie Guo
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基于多特征融合的前方车辆检测方法研究
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Indexed by:期刊论文

Date of Publication:2011-09-15

Journal:计算机应用研究

Included Journals:PKU、ISTIC、CSCD

Volume:28

Issue:9

Page Number:3572-3575

ISSN No.:1001-3695

Key Words:车辆检测;多阈值;阴影;边缘;分形盒子维数;对称性测度

Abstract:为了有效地避免交通事故的发生,提高车辆检测的准确率和效率,提出一种基于车辆阴影、边缘、纹理和对称性等多种特征融合的前方车辆检测方法.利用多阈值分割得到车辆阴影,选取边缘确定出车辆可能存在的感兴趣区域,通过计算感兴趣区域内的分形盒子维数进一步确定车辆的候选区域,利用对称性测度验证定位车辆.实验结果表明,该方法能够实现不同环境下的车辆检测,相比较单个特征的检测方法具有较高的准确率和可靠性.

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Associate Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

Gender:Male

Alma Mater:吉林大学

Degree:Doctoral Degree

School/Department:机械工程学院

Discipline:Vehicle Engineering. Vehicle Operation Engineering

Business Address:海涵楼417A

Contact Information:15524800674

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