一种新的基于ViBe的运动目标检测方法

计算机科学 ›› 2014, Vol. 41 ›› Issue (2): 149-152.

一种新的基于ViBe的运动目标检测方法

胡小冉,孙涵

南京航空航天大学计算机科学与技术学院南京210016;南京航空航天大学计算机科学与技术学院南京210016

出版日期:2018-11-14 发布日期:2018-11-14
基金资助:
本文受国家自然科学基金项目(61203246),江苏省“青蓝工程”科技创新团队项目资助

Novel Moving Object Detection Method Based on ViBe

HU Xiao-ran and SUN Han

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 针对ViBe运动目标检测算法在实际环境中存在无法消除鬼影、阴影等干扰的问题,结合三帧差分、边缘检测等技术,提出了一种ViBe改进算法。预处理阶段通过三帧差分获得真实背景并消除鬼影,运动目标检测阶段结合先验知识和边缘检测方法获得真实的运动目标以消除阴影,目标描述与跟踪阶段运用像素标记分割方法得到目标描述并实现目标跟踪。实验结果表明,新方法在消除鬼影、阴影等干扰方面表现出了优越的性能,在交通监控实时视频流中具有理想的车辆检测和跟踪效果。

关键词: ViBe改进,鬼影,阴影,运动目标检测,跟踪中图法分类号TP391文献标识码A

Abstract: Because of such interferences as ghostand shadow which cannot be overcome by ViBe algorithm in moving object detection in practice,a new improved ViBe algorithm which combines inter-frame difference algorithm with edge detection technology was put forward in this paper．By using inter-frame difference algorithm in preprocessing stage,the true background can be gained and the ghost can be removed．And then according to prior knowledge and edge detection technology in moving object detection stage,the true moving object can be got to eliminate shadow.In addition,with pixel-labeled segmentation method,the description of moving object can be achieved and the object can be tracked.Eventually these methods are applied to real-time traffic surveillance video and the experimental results show that these proposed methods have good performance in removing interfaces like ghostand shadow in moving cars detection and trac-king.

Key words: Improved ViBe,Ghost,Shadow,Moving object detection,Tracking

胡小冉,孙涵. 一种新的基于ViBe的运动目标检测方法[J]. 计算机科学, 2014, 41(2): 149-152. https://doi.org/

HU Xiao-ran and SUN Han. Novel Moving Object Detection Method Based on ViBe[J]. Computer Science, 2014, 41(2): 149-152. https://doi.org/

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