(MCD)-C-4: A Robust Change Detection Method for Intelligent Visual Surveillance
Wang, Kunfeng1,2; Gou, Chao1; Wang, Fei-Yue1,3
2018
发表期刊IEEE ACCESS
卷号6页码:15505-15520
文章类型Article
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.
关键词Change Detection Multimodal Background Multi-view Learning Conditional Independence Markov Random Field
WOS标题词Science & Technology ; Technology
DOI10.1109/ACCESS.2018.2812880
关键词[WOS]MOVING OBJECT DETECTION ; BACKGROUND SUBTRACTION ; SEGMENTATION ; TRACKING ; VIDEOS ; MODEL ; EDGE
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61533019 ; 71232006 ; 91720000)
WOS研究方向Computer Science ; Engineering ; Telecommunications
WOS类目Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号WOS:000429256000001
引用统计
被引频次:2[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/173211/22003
专题复杂系统管理与控制国家重点实验室_先进控制与自动化
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
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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.
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