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(MCD)-C-4: A Robust Change Detection Method for Intelligent Visual Surveillance

文献类型：期刊论文

作者Wang, Kunfeng1,2; Gou, Chao1; Wang, Fei-Yue1,3
刊名IEEE ACCESS
出版日期2018
卷号6页码:15505-15520
关键词Change Detection Multimodal Background Multi-view Learning Conditional Independence Markov Random Field
DOI10.1109/ACCESS.2018.2812880
文献子类Article
英文摘要In this paper, we propose a robust change detection method for intelligent visual surveillance. This method, named (MCD)-C-4, includes three major steps. First, a sample-based background model that integrates color and texture cues is built and updated over time. Second, multiple heterogeneous features (including brightness variation, chromaticity variation, and texture variation) are extracted by comparing the input frame with the background model, and a multi-view learning strategy is designed to online estimate the probability distributions for both foreground and background. The three features are approximately conditionally independent, making multi-view learning feasible. Pixel-wise foreground posteriors are then estimated with Bayes rule. Finally, the Markov random field (MRF) optimization and heuristic postprocessing techniques are used sequentially to improve accuracy. In particular, a two-layer MRF model is constructed to represent pixel-based and superpixel-based contextual constraints compactly. Experimental results on the CDnet dataset indicate that (MCD)-C-4 is robust under complex environments and ranks among the top methods.
WOS关键词MOVING OBJECT DETECTION ; BACKGROUND SUBTRACTION ; SEGMENTATION ; TRACKING ; VIDEOS ; MODEL ; EDGE
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000429256000001
资助机构National Natural Science Foundation of China(61533019 ; 71232006 ; 91720000)
源URL[http://ir.ia.ac.cn/handle/173211/22003]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Qingdao Acad Intelligent Ind, Innovat Ctr Parallel Vis, Qingdao 266000, Peoples R China
3.Natl Univ Def Technol, Res Ctr Computat Expt & Parallel Sys, Changsha 410073, Hunan, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Kunfeng,Gou, Chao,Wang, Fei-Yue. (MCD)-C-4: A Robust Change Detection Method for Intelligent Visual Surveillance[J]. IEEE ACCESS,2018,6:15505-15520.
APA Wang, Kunfeng,Gou, Chao,&Wang, Fei-Yue.(2018).(MCD)-C-4: A Robust Change Detection Method for Intelligent Visual Surveillance.IEEE ACCESS,6,15505-15520.
MLA Wang, Kunfeng,et al."(MCD)-C-4: A Robust Change Detection Method for Intelligent Visual Surveillance".IEEE ACCESS 6(2018):15505-15520.

入库方式： OAI收割

来源：自动化研究所

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