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基于动态图像序列的自动扶梯客流量的测量 被引量:9

The Measurement of the Flow of passengers of travelling stairway Based on Dynamic Image Sequence
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摘要 目的 利用动态图像序列分析的方法测量扶梯的客流量 .方法 提出了一种基于改进型的Hausdorff距离的图像匹配方法用于检测人体特征 ,并利用滤波器对特征目标进行跟踪 .结果 人体的某些部位即使在被遮挡 (Occlusion)及图像含有较强噪声的情况下也能得到正确快速的识别 .结论 利用计算机图像序列分析的方法测量测量自动扶梯的客流量是一种可行的方法 . Aim\ To measure the flow of passengers of travelling stairway using dynamic image sequence. Methods\ This paper proposes an approach of image matching based on an improved Hausdorff distance and uses \%α β γ\% filter to track the object. Results\ The human body can be recognized quickly and correctly although the some parts of human body are occluded and strong noise has appeared in the image sequence. Conclusion\ It is a feasible way to measure the flow of passengersusing the approach of dynamic image sequence analysis.
作者 汪亚明
出处 《华北工学院测试技术学报》 2002年第1期14-16,共3页 Journal of Test and Measurement Technology
基金 浙江省自然科学基金 (60 10 19) 浙江省教育厅科研项目 (2 0 0 0 0 3 6)
关键词 客流测量 目标识别 Haudorff距离 目标跟踪 动态图像序列 计算机 自动扶梯 客流量 the flow of passengers object recognition Hausdorff distance object tracking \%α β γ\% filtering
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参考文献6

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同被引文献55

  • 1郑睿,李方东.基于调频毫米波的安防移动机器人导航系统[J].仪器仪表学报,2021,42(3):105-113. 被引量:13
  • 2李娜,方卫宁.基于视频流的地铁人群目标识别[J].北京交通大学学报,2006,30(1):96-99. 被引量:6
  • 3任彬,汪炳权,罗斌.基于直方图指数平滑的阈值和峰点自动检测方法[J].中国图象图形学报(A辑),1997,2(4):230-233. 被引量:34
  • 4ZHANG Xiao-wei,SEXTON G.Automatic Human Head Location for Pedestrian Counting[C]// Proceedings of Sixth International Conference on Image Processing and its Applications,Dublin,1997:535-540.
  • 5YU Hai-bin,LIU Ji-lin and ZHAO Hong.A Vision-Based Method to Estimate Passenger Flow in Bus[C]// to be published on the Proceedings of the 9th International IEEE Conference on Intelligent Transportation Systems (ITSC2006),September 17-20,2006.
  • 6LIN Sheng-fuu,CHEN Jaw-yeh and CHAO Hung-xin.Estimation of Number of People in Crowded Scenes Using Perspective Transformation[J].IEEE Transactions on Systems,Man and Cybernetics,Part A,2001,31(6):645-654.
  • 7BEYMER D.Person counting using stereo[C]// Proceedings of Workshop on Human Motion,2000:127-133.
  • 8HUANG Xiao-yu,LI Li-yuan and SIM T.Stereo-Based Human Head Detection From Crowd Scenes[C]// Proceedings of International Conference on Image Processing,2004:1353-1356.
  • 9KROTOSKY S,CHENG S,TRIVEDI M.Real-Time Stereo-Based Head Detection Using Size,Shape and Disparity Constraints[C]// Proceedings of IEEE Symposium on Intelligent Vehicles,2005:550-556.
  • 10LUO Rui-jiang,GUO Yan.Real-Time Stereo Tracking of Multiple Moving Heads[C]// Proceedings of IEEE ICCV Workshop on Recognition,Analysis,and Tracking of Faces and Gestures in Real-Time Systems,2001:55-60.

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