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基于运动投影周期性特征的人体目标检测方法 被引量：1

Human detection method based on motion projection periodicity feature
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摘要 针对摄像机较远距离拍摄目标的情形,提出一种利用人体行走时的投影周期性特征进行人体目标检测的方法,首先通过运动分割获取每一帧的运动目标,然后通过计算运动目标的投影相似性对目标进行检测。为了简化计算,利用Hausdorff距离对运动目标的投影进行相似性计算,同时为减少存储空间,利用码书作为存储相似性特征的数据结构。 To handle the situation that objects are acquired by a still camera and the distance between objects and the camera is long,a human detection method based on the motion projection periodicity feature is presented.This method first obtains the moving objects via the motion segmentation algorithm,and then detects humans by calculating the projection similarities of the moving objects.To reduce the requirements of memory space and CPU time,this method uses the Hausdorff distance as a measure to calculate the projection similarity,and stores the calculated results in codebooks.
作者 梁英宏
机构地区 广东商学院广东省电子商务市场应用技术重点实验室
出处 《计算机工程与应用》 CSCD 北大核心 2010年第9期169-172,共4页 Computer Engineering and Applications
基金 广东省科技计划项目(No.2006B60155)
关键词 人体目标检测 投影周期性 运动分割 HAUSDORFF 码书 human detection projection periodicity motion segmentation Hausdorff codebook
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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参考文献8

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二级参考文献4

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共引文献2

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  • 2nzweiler M,. Gavrila D. M. Monocular pedestrian detection: Survey and experiments [J]. Journal of IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 31(12): 2179 - 2195.
  • 3Sherrah J., Ristic B.Redding N.J. Particle filter to track multiple people for visual surveillance [J]. IET Computer Vision, 2011, 5(4): 192-200.
  • 4Stepanov, O.A. Kalman filterl.ng: Past and present. An outlook from Russia[J].Gyroscopy and Navigation, 2011, 2(2): 99-110.
  • 5Sherrah J., Ristic B., Redding N.J.. Particle filter to track multiple people for visual surveillance [J]. Gyroscopy and Navigation, 2011, 5(4): 99-200.
  • 6Kun Xu, Lanying Guo. An anti-occlusion object tracking algorithm based on mean shift and particle filter [J]. ICIC Express Letters, Part B: Applications, 2011, 2(1): 95-100.
  • 7Siradjuddin Indah Agustien, Widyanto M. Rahmat, Basaruddin T.. Particle filter with Gaussian weighting for human tracking [J]. Telkomnika, 2012, 10(6): 1453-1457.
  • 8Capellades Marti Balcells, Doermann David, DeMenthon Daniel. An appearance based approach for human and object tracking [C] // Proceedings of the IEEE International Conference on Image Processing,2003:85-88.
  • 9Zhang, Yang; Liu, Weiming. Diverse Gentle Adaboost with Cost-sensitive SVM Ensemble Classifiers Algorithm for Real-time Pedestrian Tracking based on Machine Vision[J]. International Journal of Digital Content Technology and its Applications, 2014, 8(1A): 222-225.
  • 10Koora Bharath Kumar, Satpute Nitin R., Adiga, Akshay. Tabu search based implementation of object tracking using joint color texture histogram [C] // Proceedings of IEEE 7th International Conference on Industrial and Information Systems, Chennai, India, 2012: 829-835.

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计算机工程与应用
2010年 第9期

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