[1]杨 阳,杨静宇.基于显著性分割的红外行人检测[J].南京理工大学学报(自然科学版),2013,37(02):251.
　Yang Yang,Yang Jingyu.Pedestrian detection of infrared images based on saliency segmentation[J].Journal of Nanjing University of Science and Technology,2013,37(02):251.
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基于显著性分割的红外行人检测
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《南京理工大学学报》（自然科学版）[ISSN:1005-9830/CN:32-1397/N]

卷:
37卷
期数:
2013年02期
页码:
251
栏目:
出版日期:
2013-04-30

文章信息/Info

Title:
Pedestrian detection of infrared images based on saliency segmentation
作者:
杨 阳1; 2; 杨静宇1
1.南京理工大学 计算机科学与工程学院,江苏 南京 210094; 2.河南大学 计算机与信息工程学院,河南 开封 475001
Author(s):
Yang Yang1; 2; Yang Jingyu1
1.School of Computer Science and Engineering,NUST,Nanjing 210094,China; 2.School of Computer and Information Engineering,Henan University,Kaifeng 475001,China
关键词:
行人检测;  红外图像;  显著性分割;  关注点;  模板匹配
Keywords:
pedestrian detection;  infrared images;  saliency segmentation;  attention points;  template match
分类号:
TP391.4
摘要:
针对红外图像的特点和行人形状特征提出一种快速高效的行人检测算法。采用基于直方图统计的显著性映射算法获取红外图像的显著图(SM),统计出SM中关注点(AP)的分布,确定了自适应分割阈值; 针对行人姿势的多样性,结合先验概率构建基于形状的级联模板树,在分割图像上根据匹配值确定行人的位置。选取3个公开数据集对比几种行人检测算法。实验结果表明,所提算法在精度和检测速度方面都有明显优势。
Abstract:
An effective approach for pedestrian dectecting is presented in this paper considering the characteristics of infrared images and human shapes.A method based on the statistics histogram of contrast is used to calculate saliency maps(SM)of infrared images.Attention points(AP)extracted from SM are used to decide the segmentation threshold.The hierarchical part-template match tree is built combined with prior probabilities and varieties of human posture.After matching template-tree with segmented results,pedestrians are presented.Experiment results of the approach are compared with that of other methods on three open datasets.The results show that the proposed algorithm has the high precision with less time.

参考文献/References:

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相似文献/References:

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　Ren Hanjun,Song Xiaoning,Yu Dongjun.Novel pedestrian detection method based on coarse-to-finerepresentation strategy[J].Journal of Nanjing University of Science and Technology,2017,41(02):646.[doi:10.14177/j.cnki.32-1397n.2017.41.05.017]

备注/Memo

备注/Memo:
收稿日期:2011-11-01 修回日期:2013-01-02
作者简介:杨阳(1980-),男,硕士,讲师,主要研究方向:模式识别和机器视觉,E-mail:hooknn@foxmail.com。
更新日期/Last Update: 2013-04-30