Gestalt principle based change detection and background reconstruction | |
Qiu, Shi1; Dong, Yongsheng1; Lu, Xiaoqiang1; Du, Ming2,3 | |
2016 | |
会议名称 | 4th chinese conference on intelligent visual surveillance, ivs 2016 |
会议日期 | 2016-10-19 |
会议地点 | beijing, china |
卷号 | 664 ccis |
页码 | 20-29 |
英文摘要 | gaussian mixture model based detection algorithms can easily lead to fragmentary due to the fixed number of gaussian components. in this paper, we propose a gestalt principle based change target extraction method, and further present a background reconstruction algorithm. in particular, firstly we applied the gaussian mixture model to extract the moving target as others did but this may lead to incomplete extraction. secondly, we have also tried to apply the frame difference method to extract the moving target more precisely. finally, we determine to build a static background according to relationships between each frame of a moving target. experiment results reveal that the proposed detection method outperforms the other three representative detection methods. moreover, our background reconstruction algorithm is also proved to be very effective and robust in reconstructing the backgrounds of a video. © springer nature singapore pte ltd. 2016. |
收录类别 | EI ; ISTP |
产权排序 | 1 |
会议录 | intelligent visual surveillance - 4th chinese conference, ivs 2016, proceedings |
会议录出版者 | springer verlag |
语种 | 英语 |
ISSN号 | 18650929 |
ISBN号 | 9789811034756 |
内容类型 | 会议论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/28715] |
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.Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China 2.College of Physics and Information Engineering, Fuzhou University, Fuzhou, China 3.Fujian Key Lab of Medical Instrument and Pharmaceutical Technology, Fuzhou, China |
推荐引用方式 GB/T 7714 | Qiu, Shi,Dong, Yongsheng,Lu, Xiaoqiang,et al. Gestalt principle based change detection and background reconstruction[C]. 见:4th chinese conference on intelligent visual surveillance, ivs 2016. beijing, china. 2016-10-19. |
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