Motion Blur Detection With an Indicator Function for Surveillance Machines | |
Pang, Yanwei1; Zhu, Hailong1; Li, Xuelong2![]() | |
刊名 | ieee transactions on industrial electronics
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2016-09-01 | |
卷号 | 63期号:9页码:5592-5601 |
关键词 | Image motion analysis motion blur surveillance machines |
ISSN号 | 0278-0046 |
产权排序 | 2 |
英文摘要 | motion is an important clue for industrial inspection, video surveillance, and service machines to localize and recognize products and objects. because blur co-occurs with motion, it is desirable for developing efficient and robust motion blur detection algorithm. however, existing algorithms are inefficient for detecting spatially varying motion blur. to deal with the problem, this paper presents a theorem, according to which, motion blur can be efficiently detected and segmented. according to the theorem, the proposed algorithm requires a simple filtering operation and variance computation. classification as either blurred or unblurred pixel can be done by substituting the variance into the proposed simple formula and checking the sign of the resulting value. moreover, a geometric interpretation and two extensions of the algorithm are given. importantly, based on the geometric interpretation of the indicator function, we develop a one-class classifier, which is more effective than the indicator function and has comparable computational cost of the indicator function. experimental results on detecting motion-blurred cars, motorcycles, bicycles, bags, and persons demonstrate that the proposed algorithm is very efficient without loss of effectiveness. |
WOS标题词 | science & technology ; technology |
类目[WOS] | automation & control systems ; engineering, electrical & electronic ; instruments & instrumentation |
研究领域[WOS] | automation & control systems ; engineering ; instruments & instrumentation |
关键词[WOS] | image |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000384641600029 |
内容类型 | 期刊论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/28250] ![]() |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
作者单位 | 1.Tianjin Univ, Sch Elect Informat Engn, Tianjin 300072, Peoples R China 2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr Opt Imagery Anal & Learning, Xian 710119, Peoples R China 3.Tianjin Univ Technol & Educ, Sch Elect Engn, Tianjin 300222, Peoples R China |
推荐引用方式 GB/T 7714 | Pang, Yanwei,Zhu, Hailong,Li, Xuelong,et al. Motion Blur Detection With an Indicator Function for Surveillance Machines[J]. ieee transactions on industrial electronics,2016,63(9):5592-5601. |
APA | Pang, Yanwei,Zhu, Hailong,Li, Xuelong,&Pan, Jing.(2016).Motion Blur Detection With an Indicator Function for Surveillance Machines.ieee transactions on industrial electronics,63(9),5592-5601. |
MLA | Pang, Yanwei,et al."Motion Blur Detection With an Indicator Function for Surveillance Machines".ieee transactions on industrial electronics 63.9(2016):5592-5601. |
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