標題: Intelligent Nighttime Video Surveillance Using Multi-Intensity Infrared Illuminator
作者: Lu, Peggy Joy
Chuang, Jen-Hui
Lin, Horng-Horng
資訊工程學系
Department of Computer Science
關鍵字: Multi-intensity infrared illuminator;foreground object detection;nighttime video surveillance
公開日期: 1-Jan-2011
摘要: In nighttime video surveillance, the image details of far objects are often hard to be identified due to poor illumination conditions while the image regions of near objects may be whitened due to overexposure. To alleviate the two problems simultaneously for nighttime video surveillance, we adopt a new multi-intensity infrared illuminator as a supportive light source to provide multiple illumination levels periodically. By using the illuminator with multiple degrees of illumination power, both far and near objects can be clearly captured. For automatic detection of foreground objects at different distances in the image sequences captured with the multi-intensity infrared illuminator, two foreground object detection methods are proposed in this paper. Experimental results show that the two methods both achieve >90% accuracy in average in foreground object detection while giving different computational complexities.
URI: http://hdl.handle.net/11536/146409
ISSN: 2078-0958
期刊: WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE, WCECS 2011, VOL I
起始頁: 509
結束頁: 514
Appears in Collections:Conferences Paper