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An Efficient Optical Flow Based Motion Detection Method for Non-stationary Scenes
Huang,Junjie1,2; Zou,Wei1,2; Zhu,Zheng1,2; Zhu,Jiagang1,2
Conference Name第31届中国控制与决策会议(2019CCDC)
Conference Date2019年6月3日-5日
Conference Place中国南昌

Real-time motion detection in non-stationary scenes is a difficult task due to dynamic background, changing foreground appearance and limited computational resource. These challenges degrade the performance of the existing methods in practical applications. In this paper, an optical flow based framework is proposed to address this problem. By applying a novel strategy to utilize optical flow, we enable our method being free of model constructing, training or updating and can be performed efficiently. Besides, a dual judgment mechanism with adaptive intervals and adaptive thresholds is designed to heighten the system’s adaptation to different situations. In experiment part, we quantitatively and qualitatively validate the effectiveness and feasibility of our method with videos in various scene conditions. The experimental results show that our method adapts itself to different situations and outperforms the state-of-the-art realtime methods, indicating the advantages of our optical flow based method.

Indexed ByEI
Document Type会议论文
Corresponding AuthorHuang,Junjie
Affiliation1.Institute of Automation, Chinese Academy of Sciences
2.University of Chinese Academy of Sciences
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Huang,Junjie,Zou,Wei,Zhu,Zheng,et al. An Efficient Optical Flow Based Motion Detection Method for Non-stationary Scenes[C],2019.
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