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Fast human/car classification methods in the computer vision tasks

  • Boris V. Vishnyakov
  • , Ivan K. Malin
  • , Yuri V. Vizilter
  • , Shih Chia Huang
  • , Sy Yen Kuo
  • State Scientific Research Institute of Aviation Systems
  • National Taipei University of Technology
  • National Taiwan University

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

1 引文 斯高帕斯(Scopus)

摘要

In this paper we propose a method for classification of moving objects of human and car types in computer vision systems using statistical hypotheses and integration of the results using two different decision rules. FAR-FRR graphs for all criteria and the decision rule are plotted. Confusion matrix for both ways of integration is presented. The example of the method application to the public video databases is provided. Ways of accuracy improvement are proposed.

原文英語
主出版物標題Videometrics, Range Imaging, and Applications XII; and Automated Visual Inspection
DOIs
出版狀態已出版 - 2013
對外發佈是
事件Videometrics, Range Imaging, and Applications XII; and Automated Visual Inspection - Munich, 德國
持續時間: 14 05 2013 → 16 05 2013

出版系列

名字Proceedings of SPIE - The International Society for Optical Engineering
卷8791
ISSN(列印)0277-786X
ISSN(電子)1996-756X

Conference

ConferenceVideometrics, Range Imaging, and Applications XII; and Automated Visual Inspection
國家/地區德國
城市Munich
期間14/05/13 → 16/05/13

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