{"title":"A dynamic background extraction method for indoor intruder detection","authors":"Ryuya Shimada, Naohiro Kawaguchi, Kenta Kaga, Hiromitsu Yamada, Terunori Mori","doi":"10.1002/ecjb.20424","DOIUrl":null,"url":null,"abstract":"<p>With recent increases in criminal activity, research and development efforts are required for detection of intruders. This paper proposes an element technique for developing a cheap intruder detection system with high performance. The following three functions are developed in this study. (1) The system can deal with smooth changes of illumination, including movement of the light source. (2) For a slowly moving intruder, the region of presence is clearly detected. (3) For an intruder pausing his movement, the region of presence is clearly detected. Functions (1) and (2) are apparently contradictory. The basic idea of the method is to detect the region of presence of the intruder based on the difference image between the background image without the intruder and the present input image. The crucial point then is how to update accurately and simply the present background image, and there has been no method that realizes the above three functions at the same time. In contrast, we realized these functions by an approach in which weighted averaging is not applied to the detected intruder region and its boundary in the background image. © 2007 Wiley Periodicals, Inc. Electron Comm Jpn Pt 2, 90(12): 61–76, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjb.20424</p>","PeriodicalId":100406,"journal":{"name":"Electronics and Communications in Japan (Part II: Electronics)","volume":"90 12","pages":"61-76"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/ecjb.20424","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronics and Communications in Japan (Part II: Electronics)","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ecjb.20424","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With recent increases in criminal activity, research and development efforts are required for detection of intruders. This paper proposes an element technique for developing a cheap intruder detection system with high performance. The following three functions are developed in this study. (1) The system can deal with smooth changes of illumination, including movement of the light source. (2) For a slowly moving intruder, the region of presence is clearly detected. (3) For an intruder pausing his movement, the region of presence is clearly detected. Functions (1) and (2) are apparently contradictory. The basic idea of the method is to detect the region of presence of the intruder based on the difference image between the background image without the intruder and the present input image. The crucial point then is how to update accurately and simply the present background image, and there has been no method that realizes the above three functions at the same time. In contrast, we realized these functions by an approach in which weighted averaging is not applied to the detected intruder region and its boundary in the background image. © 2007 Wiley Periodicals, Inc. Electron Comm Jpn Pt 2, 90(12): 61–76, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjb.20424
一种用于室内入侵者检测的动态背景提取方法
随着最近犯罪活动的增加,需要在检测入侵者方面进行研究和开发工作。本文提出了一种开发廉价、高性能的入侵检测系统的基本技术。本研究开发了以下三个功能。(1)系统可以处理光照的平滑变化,包括光源的移动。(2)对于缓慢移动的入侵者,存在区域被清晰地检测出来。(3)对于暂停运动的入侵者,可以清楚地检测到存在区域。函数(1)和(2)显然是矛盾的。该方法的基本思想是根据没有入侵者的背景图像与当前输入图像的差值来检测入侵者存在的区域。如何准确、简单地更新当前背景图像是关键,目前还没有同时实现以上三个功能的方法。相反,我们通过对背景图像中检测到的入侵区域及其边界不进行加权平均的方法来实现这些功能。©2007 Wiley期刊公司电子工程学报,2009,29 (3):391 - 391;在线发表于Wiley InterScience (www.interscience.wiley.com)。DOI 10.1002 / ecjb.20424
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