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基于快速SIFT匹配的行人信息检测 被引量：4

Pedestrian Detection Based on Rapid SIFT Matching
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摘要 在智能监控中,检测行人是判断异常的必要步骤,复杂场景下行人检测一直是研究的热点难点,依据人体头部作为人体这种非刚体中的稳定部分,提出了一种快速而稳健的行人检测算法。该算法首先对摄像头拍摄的视频选取感兴趣区域,利用离线训练的Adaboost级联分类器检测人的头部区域,然后通过快速SIFT算法匹配相邻帧的人的头部,进而进行判断人的运动速度以及方向,便于进行下一步研究。通过实验验证以及与目前具有相关代表性的方法对比,论证了所提出算法在复杂场景下也具有很好的检测匹配效果,具有良好的有效性和可靠性。 Detecting pedestrians,as a necessary step in the abnormal behavior judgment in intelligent monitoring,is indispensable.Pedestrian detection is a difficult problem especially under complicated scene.A fast and robust algorithm using for pedestrian detection,based on people ＇ s head,is proposed in this paper.The algorithm firstly proceeds the video pre-processing,and isolates a region of interest（ROI）quickly.In the ROI,human head is detected by using a cascade of classifiers.Then,people ＇ s movement speed and direction could be obtained from a fast SIFT（Scale-invariant feature transform）algorithm which is adopted to match the people ＇ s head between the adjacent frames.Experimental results show the proposed algorithm ＇ s higher effectiveness and reliability by comparing with the related methods.
作者 杜金辉 管业鹏 时勇杰
机构地区 上海大学通信与信息工程学院
出处 《电子器件》 CAS 北大核心 2012年第5期601-606,共6页 Chinese Journal of Electron Devices
基金 国家自然科学基金项目(11176016 60872117)
关键词 感兴趣区域 行人检测 人体头部 快速SIFT匹配 ROI pedestrian detection head rapid SIFT matching
分类号 TN911.73 [电子电信—通信与信息系统]
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参考文献18

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同被引文献49

  • 1Shu Chang,Ding Xiaoqin, Fang Chi. Histogram of the Oriented Gradient for Face Recognition [ J ]. Tsinghua Science and Technology. 2011 ( 2 ) :216 - 224.
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  • 3Cheng Li. An Analysis of Hog Production Prediction in Liaoning Province [ C]//Proceedings of the 2011 International Conference on Information Management, Innovation Management and Industrial Engineering, 236 -239.
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  • 6Piotr Dollal r, Christian Wojek. Pedestrian Detection : An Evalua-tion of the State of the Art[ J] . IEEE Transactions on Pattern Anal-ysis and Machine Intelligence. 2012,32(4) :743-761.
  • 7Zheng Gang, Chen Youbin. A Review on Vision-Based PedestrianDetection[ J]. IEEE Global High Tech Congress on Electronics.2010,3(12):49-54.
  • 8Li Bo, Yao Qingming. A Review on Vision-based Pedestrian De-tection in Intelligent Transportation Systems [ C ]. Networking,Sensing and Control (ICNSC), IEEE. 2010:393-398.
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  • 10Liu Yazhou, Shan Shiguang. 3D Haar-Like Features for Pedestri-an Detection [ C ]. IEEE International Conference on Multimediaand Expo, 2007:1263-1266.

引证文献4

二级引证文献7

电子器件
2012年 第5期

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