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作者:

Xi, Yao (Xi, Yao.) | Jia, Ke-bin (Jia, Ke-bin.) (学者:贾克斌) | Sun, Zhong-hua (Sun, Zhong-hua.)

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摘要:

Moving objectives detection is the basis for the application of computer vision technology, in intelligent video surveillance systems in many areas have a wide range of applications for dynamic in the context of the moving object detection, presented in this paper that will improve the pyramid optical flow law and the combination of edge detection moving object detection method. First of video pre-processing applications, Wavelet Threshold to remove noise; second, through the pyramid optical flow to achieve maximum displacement appears moving objectives; then uses a canny edge detection for the edge of an image information; and finally will get the optical flow of information and the edge of the characteristics of the information so the second value after the integration of the morphology through the follow-up to the campaign to get accurate target information. Lab results indicate that the algorithm real-time high, the versatile good, you can more accurately detect moving objectives.

关键词:

Wavelet threshold de-noising Pyramid Lucas-Kanade optical flow Canny edge detection Moving background

作者机构:

  • [ 1 ] [Xi, Yao]Beijing Univ Technol, Coll Elect Informat & Control Engn, Multimedia Informat Proc Grp, Beijing, Peoples R China
  • [ 2 ] [Jia, Ke-bin]Beijing Univ Technol, Coll Elect Informat & Control Engn, Multimedia Informat Proc Grp, Beijing, Peoples R China
  • [ 3 ] [Sun, Zhong-hua]Beijing Univ Technol, Coll Elect Informat & Control Engn, Multimedia Informat Proc Grp, Beijing, Peoples R China

通讯作者信息:

  • 贾克斌

    [Jia, Ke-bin]Beijing Univ Technol, Coll Elect Informat & Control Engn, Multimedia Informat Proc Grp, Beijing, Peoples R China

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来源 :

INTELLIGENT DATA ANALYSIS AND APPLICATIONS, (ECC 2016)

ISSN: 2194-5357

年份: 2017

卷: 535

页码: 130-137

语种: 英文

被引次数:

WoS核心集被引频次: 1

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

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