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基于三帧差分法与质心匹配的行人自动计数算法 被引量:2

ALGORITHMS OF PEDESTRAIN DETECTION AND TRACKING BASED ON THREE FRAME DIFFERENCE AND PEDESTRIAN CENTROID MATCHING
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摘要 为了实现对视频序列中人流量进行实时、准确的检测与跟踪,提出了一种基于三帧差分法的行人质心匹配的行人检测与跟踪算法.采用改进的三帧差分法实现对运动目标信息的检测,然后根据运动目标的信息进行行人面积与质心的计算,并根据质心最近距离匹配、运动方向一致性、越界检测的原则对行人进行跟踪.实验结果表明,该算法在不降低检测效果的情况下明显提高了行人检测与追踪的效率. To realize the accurate detection and tracking of pedestrian in the video sequence in real-time, a centroid of the pedestrian detection and tracking algorithm based on three frame difference method is presented. Firstly an improved three frame difference method is used to detect moving target information, and then the pedes- trian area and centroid according to moving target information is calculated, and the pedestrian is finally tracked ac- cording to principles of matching of minimum distance, the consistency of the direction of movement, and cross bor- der detection. The experimental results show that this algorithm can significantly improve the efficiency of pedestrian detection and tracking without reducing the detection accuracy, and has a strong robustness.
作者 张万鹏 李天平 万洪林 Zhang Wanpeng;Li Tianping;Wan Honglin(School of Physics and Electronic Science, Shandong Normal University, 250358, Jinan, Chin)
出处 《山东师范大学学报(自然科学版)》 CAS 2017年第4期72-77,共6页 Journal of Shandong Normal University(Natural Science)
基金 山东省科技发展计划资助项目(2014gsf116004)
关键词 行人追踪 三帧差分法 运动方向一致性估计 越界检测 pedestrian tracking three frame difference motion direction consistency estimation crossboundary detection
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  • 1周西汉,刘勃,周荷琴.一种基于对称差分和背景消减的运动检测方法[J].计算机仿真,2005,22(4):117-119. 被引量:28
  • 2刘洁,张东来.关于自适应高斯混合背景模型的更新算法的研究[J].微计算机信息,2006(08S):241-242. 被引量:23
  • 3Surendra Gupte,Osama Masoud,Robert F K.Detection and Classification of Vehicles[J].In:IEEE Transactions on Intelligent Transportation Systems,2002,3(1):37-40.
  • 4Otsu N.A threshold selection method from gray level histograms[J].IEEE Trans SMC,1979,9(1):62-69.
  • 5MARGRIT BETKE,ESIN HARITAOGLU LARRY S DAVIS.Multiple Vehicle Detection and Tracking in Hard Real-Time[J].IEEE,1996,(9):351-356.
  • 6JUNG SOH,BYUNG TAE CHUN,MIN WANG.Analysis of Road Image Sequences for Vehicle Counting[J].IEEE International Conference on,1995,(1):679-683.
  • 7ISO/IEC JTC1/SC29/WG11 Document N3908. MPEG-4 Video Verification Model: version 18.0 [S]. Pisa: MPEG Video Group, 2001.
  • 8ZHONG Di, CHANG Shih-fu. AMOS: An Active System For MPEG-4 Video Object Segmentation [A]. Proceedings of the IEEE International Conference on Image Processing ICIP'98 [C]. Chicago: IEEE, 1998. 647-651.
  • 9ZHONG Di, CHANG Shih-fu. An Integrated Approach for Content-Based Video Object Segmentation and Retrieval [J]. IEEE Transactions on Circuit and Systems for Video Technology, 1999, 9(8): 1259-1268.
  • 10MEIER T, NGAN K N. Automatic segmentation of moving objects for video object plane generation [J]. IEEE Trans. on Circuits and System for Video Technology, 1998, 8(5): 525-538.

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