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山东大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (3): 43-48.doi: 10.6040/j.issn.1672-3961.0.2016.306

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基于改进ViBe算法的视频浓缩

惠开发,成科扬,詹永照   

  1. 江苏大学计算机科学与通信工程学院, 江苏 镇江 212013
  • 收稿日期:2016-07-22 出版日期:2017-06-20 发布日期:2016-07-22
  • 作者简介:惠开发(1992— ),男,江苏盐城人,硕士研究生,主要研究方向为计算机视觉、视频语义. E-mail: adamhui@126.com
  • 基金资助:
    江苏省重点研发计划资助项目(BE2015137);镇江市科技计划资助项目(SH2014017);江苏大学高级人才科研启动基金资助项目(15JDG180)

The video synopsis based on the enhanced ViBe algorithm

HUI Kaifa, CHENG Keyang, ZHAN Yongzhao   

  1. School of Computer Science and Telecommunications Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, China
  • Received:2016-07-22 Online:2017-06-20 Published:2016-07-22

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摘要： 针对监控视频在时间上存在冗余的问题,对ViBe(visual background extractor)算法进行改进,解决了ViBe算法存在噪声和易引入鬼影的问题,通过改进后的算法对视频进行背景建模,并对得到的背景掩模提取外轮廓以确定视频帧中是否存在前景对象。将存在前景对象的视频帧写入视频流中,达到视频浓缩的目的。经过试验验证,该方法可以有效地减少视频中的冗余信息,减小视频的体积,视频中的重要信息同时也得到了完整保留,满足实时性要求。

关键词: ViBe算法, 视频浓缩, 目标检测, 鬼影抑制, 背景建模, 视频监控

Abstract: Focusing on the time redundancy of surveillance video, an enhanced ViBe was proposed to solve the problems of noise and the ghost in ViBe algorithm. The improved algorithm was applied in the procession of video background modelling. It could be determined whether there was a foreground object in a certain frame by extracting outside contour of the obtained binary image, and the frames contains foreground objects would be pushed into the video stream for the purpose of video synopsis. After the experimental verification, it could be concluded that the method could effectively reduce the redundant information in the video and the volume of the video. Meanwhile some important information in the video could be retained, and the algorithm satisfied the requirement of real-time.

Key words: video surveillance, video synopsis, background modelling, object detection, ViBe algorithm, ghost suppression

中图分类号: 

  • TP391
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