摘要
提出一种结合显著性分析和可变形部件模型(DPM)的车辆检测方法,利用频率调谐显著性检测得到显著特征图,结合Top-hat算子实现感兴趣区域的提取,将DPM作为车辆目标检测器。实验结果表明:融合显著特征的DPM在车辆检测应用中可以取得比较好的检测效果。
A vehicle detection method combined with saliency analysis and deformable part model( DPM) is proposed. Saliency feature map is acquired by frequency tuning saliency detection,combined with top-hat operator,realize extraction of region of interest( ROI). DPM is used as vehicle target detector. The experimental results show that the DPM which fuses salient features can achieve better detecting effect in vehicle detection applications.
作者
彭玮航
刘少鹏
王轲
丁祝顺
PENG Wei-hang;LIU Shao-peng;WANG Ke;DING Zhu-shun(Beijing Institute of Aerospace Control Devices,Beijing 100039,China)
出处
《传感器与微系统》
CSCD
2019年第1期158-160,共3页
Transducer and Microsystem Technologies
关键词
航拍图像
显著性分析
车辆检测
可变形部件模型
aerial images
saliency analysis
vehicle detection
deformable part model(DPM)]
