期刊文献+

拥挤场景中对多个人的检测和跟踪技术研究

Detection and Tracking of Multiple Humans in Crowded Scene
下载PDF
导出
摘要 不同于单个目标的检测,拥挤场景中多个目标的检测和跟踪有其复杂性和特殊性.基于拥挤场景中多个人的检测和跟踪技术最新的研究成果,对检测和跟踪的系统框架、主要方法、实验数据集、性能度量等进行了综述,指出了拥挤场景中人的检测和跟踪技术存在的主要困难和关键问题,以及今后的研究方向. Detection and tracking of human in video streams, unlike that of single person, is peculiar and complex. A detailed overview of the state of the art in detection and tracking of multiple,human in crowded scene is presented. The general framework of human detection and tracking system, main approaches to detection and tracking, datasets for experiment and evaluation metrics are provided. Meanwhile the difficulties and key problems in detection and tracking are analyzed. On this basis, the trend of future research is predicted.
作者 徐曼
出处 《上海电力学院学报》 CAS 2013年第2期180-184,共5页 Journal of Shanghai University of Electric Power
关键词 拥挤场景 行人检测 跟踪 crweded scene human detection tracking
  • 相关文献

参考文献25

  • 1WU Bo,NEVATIA R. Detection and tracking of multiple,partially occluded humans by bayesian combination of edgeletbased part detectors [ J]. International Journal of ComputerVision,2007,75(2) :247-266.
  • 2HUANG Chang,WU Bo,NEVATIA R. Robust objecttracking by hierarchical association of detection responses[C]// Computer Vision-ECCV,2008:788-801.
  • 3LI Yuan,HUANG Chang,NEVATIA R. Learning toassociate : hybridBoosted multi-target tracker for crowdedscene [ C]// Proceeding of IEEE Computer SocietyConference on Computer Vision and Pattern Recognition,2009:2 953-2 960.
  • 4BRENDEL William, AMER Mohamed, TODOROVICSinisa. Multiobject tracking as maximum weight independentset[C]// Proceeding of 正EE Computer Society Conferenceon Computer Vision and Pattern Recognition ( CVPR ),2011:1 273-1 280.
  • 5DALAL N. Finding people in images and video [ D].Grenoble : INRIA Rhne-Alpes,2006.
  • 6WANG Xiaoyu’HAN Tony X,YAN Shuicheng. An HOG-LBP human detector with partial occlusion handling [ C] //Proceeding of the 12th IEEE International Conference onComputer Vision,2009:32-39.
  • 7CHANDRASEKHAR Vijay ’ TAKAC Gabriel, CHEN David,et al. CHOG: compressed histogram of gradients : a low bit-rate feature descriptor [ C] //Proceeding of IEEE ComputerSociety Conference on Computer Vision and PatternRecognition,2009:2 504-2 511.
  • 8OTT Patrick, EVERINGHAM Mark. Implicit colorsegmentation features for pedestrian detection [ C]//Proceeding of the 12th IEEE International Conference onComputer Vision,2009:723-730.
  • 9MAJI Subhransu,BERG Alexander C,MALIK Jitendra.Classification using intersection kernel support vectormachines is efficient [ C]// Proceeding of IEEE ComputerSociety Conference on Computer Vision and PatternRecognition, 2008:1-8.
  • 10OKUMA Kenji,TALEHANI Ali,FREITAS Nando D,et al.A boosted particle filter : multitarget detection and tracking[C]// Proceeding of European Conf. Computer Vision(ECCV) ,2004;28-39.

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