A unified model sharing framework for moving object detection
Chen, Yingying1; Wang, Jinqiao1; Xu, Min2; He, Xiangjian2; Lu, Hanqing1
2016-07-01
发表期刊SIGNAL PROCESSING
期号124页码:72-80
文章类型Article
摘要Millions of surveillance cameras have been installed in public areas, producing vast amounts of video data every day. It is an urgent need to develop intelligent techniques to automatically detect and segment moving objects which have wide applications. Various approaches have been developed for moving object detection based on background modeling in the literature. Most of them focus on temporal information but partly or totally ignore spatial information, bringing about sensitivity to noise and background motion. In this paper, we propose a unified model sharing framework for moving object detection. To begin with, to exploit the spatial-temporal correlation across different pixels, we establish a many-to-one correspondence by model sharing between pixels, and a pixel is labeled into foreground or background by searching an optimal matched model in the neighborhood. Then a random sampling strategy is introduced for online update of the shared models. In this way, we can reduce the total number of models dramatically and match a proper model for each pixel accurately. Furthermore, existing approaches can be naturally embedded into the proposed sharing framework. Two popular approaches, statistical model and sample consensus model, are used to verify the effectiveness. Experiments and comparisons on ChangeDetection benchmark 2014 demonstrate the superiority of the model sharing solution. (C) 2015 Elsevier B.V. All rights reserved.
关键词Moving Object Detection Background Subtraction Shared Model
WOS标题词Science & Technology ; Technology
DOI10.1016/j.sigpro.2015.10.011
关键词[WOS]MULTILABEL IMAGE CLASSIFICATION
收录类别SCI
语种英语
项目资助者863 Program(2014AA015104) ; National Natural Science Foundation of China(61273034 ; 61332016)
WOS研究方向Engineering
WOS类目Engineering, Electrical & Electronic
WOS记录号WOS:000373538100009
引用统计
被引频次:5[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/11074
专题模式识别国家重点实验室_图像与视频分析
通讯作者Wang, Jinqiao
作者单位1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
2.Global Big Data Technologies Centre,University of Technology
推荐引用方式
GB/T 7714
Chen, Yingying,Wang, Jinqiao,Xu, Min,et al. A unified model sharing framework for moving object detection[J]. SIGNAL PROCESSING,2016(124):72-80.
APA Chen, Yingying,Wang, Jinqiao,Xu, Min,He, Xiangjian,&Lu, Hanqing.(2016).A unified model sharing framework for moving object detection.SIGNAL PROCESSING(124),72-80.
MLA Chen, Yingying,et al."A unified model sharing framework for moving object detection".SIGNAL PROCESSING .124(2016):72-80.
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