期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

一种快速的俯视行人检测方法 被引量：5

Rapid Pedestrian Detection with Vertical-view Camera
下载PDF
导出
摘要 提出了一种新颖的单目俯视客流图像的快速行人检测方法。该方法是针对俯视行人头部或头肩部特征进行的检测的。根据行人头部在俯视图中的左、右两半对称,左、中、右结构,上、下两部分基本相同等空间分布特征,利用积分图计算、比较目标区域内矩形子块的灰度累加值来实现这类特征的检测;此外,融合头部区域颜色均匀的特征,计算并判别否是行人。实验证明,该检测方法是快速和有效的。 A novel and rapid method for monocular pedestrian detection with a vertical-view camera was proposed. Based on the symmetry or asymmetry of head （or head and shoulder） in the space distribution, which could be calculated by integral images, pedestrian heads could be estimated quickly in a verticalview image, combined with regional characteristics of uniform color in a head. The experiment shows a promising result.
作者 唐春晖 陈启军
机构地区 同济大学电子信息工程学院 上海理工大学光电学院
出处 《系统仿真学报》 CAS CSCD 北大核心 2012年第9期1999-2002,共4页 Journal of System Simulation
基金 上海曙光跟踪项目(10GG11) 上海市科技人才计划项目(11XD1404800) 上海市教育委员会重点学科建设项目资助(J50505) 上海理工大学光电学院2010教师创新基金建设项目(GDCX-Y1102)
关键词 客流计数 俯视图 积分图 级联 pedestrian detection top-view image integral image cascade
分类号 TP391.4 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献7

  • 1K Terada, D Yoshida, S Oe, et al. A Method of Counting the Passing People by Using the Stereo Images [C]//Proc. Intl. Conf. of Image Processing. Los Alamitos, California, USA: IEEE Computer Society, Oct, 1999, Vol. 2: 338-342.
  • 2于海滨,刘敬彪,刘济林.用于行人头部特征提取的目标区域匹配方法[J].中国图象图形学报,2009,14(3):482-488. 被引量：9
  • 3朱秋煜,唐利,郁铭,江毅凭.一种基于立体视觉的公交车客流计数方法[J].中国图象图形学报,2009,14(11):2391-2395. 被引量：10
  • 4于海滨,刘济林.应用于公交客流统计的机器视觉方法[J].中国图象图形学报,2008,13(4):716-722. 被引量：26
  • 5Borislav Antic, Dragan Letic, Dubravko C et al. K-means Based Segmentation for Real-Time Zenithal People Counting [C]// IEEE International Conference on Image Processing, 2008. USA: IEEE, 2008.
  • 6Chen T, T Chen, Z Chen. An Intelligent People-Flow Counting Method for Passing Through a Gate [C]// Robotics, Automation and Meehaa'onies, 2006. Maryland Heights, USA: Elsevier, 2006: 1-6.
  • 7Viola P, M Jones. Rapid object detection using a boosted cascade of simple features [C]// CVPR, Kauai, Hawaii, USA: IEEE Computer Society, 2001:511-518.

二级参考文献21

  • 1Bartolini F, Cappellini V, Mecocci A. Counting people getting in and out of a bus by real-time image-sequence processing[ J]. Image and Vision Computing, 1994, 12(1 ) : 36-41.
  • 2Zhang X W, Sexton G. Automatic human head location for pedestrian counting[ A]. In: Proceedings of the 6th International Conference on Image Processing and Its Applications[ C] , Dublin ,Ireland, 1997 : 2 : 535 -540.
  • 3Lin S F, Chen J Y, Chao H X. Estimation of number of people in crowded scenes using perspective transformation [ J ]. IEEE Transactions on Systems, Man and Cybernetics, 2001, 31 (6): 645 -654.
  • 4Beymer D. Person counting using stereo [ A ]. In : Proceedings of Workshop on Human Motion [ C ], Austin, Texas, USA, 2000: 127-133.
  • 5Narayanan K, Kumaran R, Gowdy J. Stereo-based elliptical head tracking [A] .In: Proceedings of European Signal Processing Conference [ C], Antalya, Turkey, 2005 : 1565-1568.
  • 6Huang X Y, Li L Y, Sim T. Stereo-based human head detection from crowd scenes [ A]. In: Proceedings of International Conference on Image Processing[ C ] , Singapore,2004 : 1353-1356.
  • 7Luo R J, Guo Y. Real-time stereo tracking of multiple moving heads [A]. In: Proceedings of IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems [C], Vancouver, BC, Canada,2001:55-60.
  • 8Brown M, Burschka D, Hager G. Advances in computational stereo [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25 (8) : 993-1008.
  • 9Bartolini F,Cappellini V, Meeoeei A. Counting people getting in and out of a bus by real-time image-sequence processing[J]. Image and Vision Computing, 1994,12( 1 ) :36 - 41.
  • 10Zhang Xiao-wei, Sexton G. Automatic human head location for pedestrian counting [ A ]. In: Proceedings of Sixth International Conference on Image Processing and its Applications [ C ] , Dublin, German, 1997:535 - 540.

共引文献39

同被引文献48

  • 1Yilmaz A, Javed O, Shah M. Object tracking: A survey [J]. ACM Computing Surveys (CSUR). Journal of System Simulation (S1004-731X), 2006, 38(4): 1-45.
  • 2Watada J, Musa Z., Jain L C, et al. Human Tracking: A State-of-Art Survey [R]// Lecture Notes in Computer Science. Germany: Springer Berlin/Heidelberg, 2010: 454-463.
  • 3Chen T.H., Chert T.Y., Chen Z.X., et al. An Intelligent People-Flow Counting Method for Passing Through a Gate [C]// Robotics, Automation and Mechatronics. USA: IEEE, 2006: 1-6.
  • 4L Snidaro, L Micheloni, C Chiavedale. Video Security for Ambient Intelligence [J]. IEEE Tr. on Systems, Man and Cybernetics [J]. Journal of System Simulation (S1004-731X), 2005, 35(1): 133-144.
  • 5Liu X, Tu P H, Rittscher J, et al. Detecting and counting people in surveillance applications [C]// IEEE Conference on Advanced Video and Signal Based Surveillance. USA: IEEE, 2005:306-311.
  • 6Barundiaran J, B Murguia, F Boto. Real-Time People Counting Using Multiple Lines [C]//Ninth International Workshop on Image Analysis for Multimedia Interactive Services. USA: IEEE, 2008: 159-162.
  • 7Chen T H, Chert T Y, Chen Z X, et al. People Counting System for Getting In/Out of a Bus Based on Video Processing [C]// Intelligent Systems Design and Applications, USA: IEEE, 2008, vol.3: 565-569.
  • 8Septian H, J Tao, Y Tan. People Counting by Video Segmentation and Tracking [C]// 9th intemational conference on Control, Automation, Robotics and Vision. USA: IEEE, 2006: 1-4.
  • 9Antic B, Letic D, Culibrk D, et al. K-means Based Segmentation for Real-Time Zenithal People Counting [C]// IEEE International Conference on Image Processing. USA: IEEE, 2008:2565-2568.
  • 10Enzweiler M, Gaw'ila D M. Monocular Pedeslrian Detection : Survey and Experiments. IEEE Trans on Pattern Analysis and Machine Intelligence, 2009, 31 (12): 2179-2195.

引证文献5

二级引证文献20

系统仿真学报
2012年 第9期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部