文章基本信息

标题：Research on Background Extraction of Dynamic Video
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作者：Jun Li ; Jianwu Dang ; Jiansheng Wang 等
期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2015
卷号：8
期号：10
页码：289-298
DOI：10.14257/ijhit.2015.8.10.26
出版社：SERSC
摘要：As for heavy traffic, road congestion and the hard extraction of vehicles in dynamic video, an improved method of dynamic video background updating is proposed. By using frame-to-frame differences and mask technology, the hole of difference image is eliminated, then extracts the reliably initial background. The image is segmented by using double threshold based on the combination of Bacterial Foraging Optimization Algorithm and Otsu Algorithm to improve the effect and reliability of background updating. Experiments shows that it is an effective way that is good in speed and effective in background extraction, and provides a good foundation for further study of the vehicle tracking.
关键词：finite difference method; background update; background extraction; mask; ; double threshold image segmentation; Bacterial Foraging Optimization Algorithm ; (BFOA)