期刊文献+

一种串联组合分类的红外行人检测方法 被引量:1

Infrared pedestrian detection method using series combination classification
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摘要 针对红外图像行人检测中虚警率高的问题,提出了一种串联组合分类的红外行人检测方法。该方法利用感兴趣区域的宽高比和方向梯度直方图2种特征,采用串联组合方式实现分类识别。实验结果中检测率达到了90.5%,虚警率减少了43.7%,表明提出的方法可有效检测行人同时降低虚警。 An effective method using series combination classification was proposed to solve the problem of high false alarm ratio in infrared pedestrian detection. After obtaining the region of interest, two kinds of characters were computed, ratio of width to height and histograms of o- riented gradients (HOG). The series combination strategy was used to detect the pedestrian. In the experimental results, the detection ratio reached 90. 5% and the false alarm ratio re- duced by 43.7 %. The results show that the proposed method is effective to detect the infrared pedestrian and reduce the false alarm ratio.
作者 贾俊涛
出处 《应用光学》 CAS CSCD 北大核心 2012年第4期770-773,共4页 Journal of Applied Optics
关键词 行人检测 方向梯度直方图 支持向量机 pedestrian detection HOG,support vector machine (SVM)
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参考文献10

  • 1聂尧.车辆安全辅助驾驶技术浅析[J].交通与运输,2008,24(H12):146-148. 被引量:5
  • 2ENZWEILER M, GAVRILA D M. Monocular pe- destrian detection: survey and experiments [ J ]. IEEE Transactions On Pattern Analysis and Machine Intelligence, 2009,31(12) : 2179-2195.
  • 3BERTOZZI M, BROGGI A, GRISLERI P, et al.Pedestrian detection in infrared images[C]. USA.. IEEE Intelligent Vehicles Symposium, 2003.
  • 4李娟,邵春福,杨励雅.基于混合高斯模型的行人检测方法[J].吉林大学学报(工学版),2011,41(1):41-45. 被引量:20
  • 5李建福,龚卫国,杨金妃,李伟红.基于复合分类特征的红外图像人体实时检测[J].光电工程,2009,36(2):55-61. 被引量:5
  • 6郭家欢.基于单帧红外图像的行人检测[D].长春:吉林大学,2007.
  • 7OREN M, PAPAGEORGIOU C, SINHA P, et al. Pedestrian detection using wavelet templates [C]. USA:Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 1997.
  • 8ABRAMSON Y, STEUX B. Hardware-friendly pe- destrian detection and impact prediction[C]. USA: Proceedings of IEEE Intelligent Vehicles Symposi- um, 2004.
  • 9NAVNEET DALAL, BILL TRIGGS. Histograms of oriented gradients for human detection[C]. USA, International Conference on Computer Vision and Pattern Recognition, 2005.
  • 10JAMES W. DAVIS, MARK A. KECK. A two- stage template approach to person detection in ther- mal imagery[C]//Application of Computer Vision, 2005. USA: Seventh IEEE Workshops, 2005.

二级参考文献30

  • 1顾柏园,王荣本,余天洪,郭烈.基于视觉的前方车辆探测技术研究方法综述[J].公路交通科技,2005,22(10):114-119. 被引量:14
  • 2刘卫平,黄富元,熊文莉,王瑛琳.车辆安全辅助驾驶系统发展概述[J].汽车运用,2005(11):38-39. 被引量:4
  • 3李志慧,张长海,曲昭伟,王殿海.交通流视频检测中背景模型与阴影检测算法[J].吉林大学学报(工学版),2006,36(6):993-997. 被引量:16
  • 4王荣本,郭烈,金立生,顾柏园,余天洪.智能车辆安全辅助驾驶技术研究近况[J].公路交通科技,2007,24(7):107-111. 被引量:40
  • 5Aggarwal J K, Cai Q. Human motion analysis: A review [J]. Computer Vision and Image Understanding(S 1077-3142), 1999, 73(3): 428-440.
  • 6Avidan S. Support vector tracking [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence(S0162-8828), 2004, 26(8): 1064-1072.
  • 7Oren M, Papageoriou C, Sinha P, et al. Pedestrian detection using wavelet template [C]//IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Juan, Puerto Rico, Jun 17-19, 1997. Washington D C, USA: IEEE, 1997: 193-199.
  • 8Wu Ying, Yu Ting, Hua Gang. A statistical field model for pedestrian detection [J]. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (S1063-6919), 2005, 1: 1023-1030.
  • 9Garcia J, Valdivia J, Vidal X. Information theoretic measure for visual target distinctness [J]. IEEE Transactions on Pattern Analysis and Machine InteUigence(S0162-8828), 2001, 23(4): 362-383.
  • 10Bertozzi M, Broggi A, Grisleri P, et al. Pedestrian detection in infrared images [C]//IEEE Intelligent Vehicles Symposium, Columbus, OH, USA, June 9-11, 2003. Washington D C, USA: 1EEE, 2003: 662-667.

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