| 基于GIS的可跨场景人群密度估计方法 |
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| 引用本文： | 朱宏权,刘学军,闾国年,张兴国,王丰. 基于GIS的可跨场景人群密度估计方法[J]. 中国通信, 2014, 0(11): 80-89 |
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| 作者姓名： | 朱宏权 刘学军 闾国年 张兴国 王丰 |
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| 作者单位： | College of Life Sciences,State Key Laboratory of Cotton Biology,Key Laboratory of Plant Stress Biology,Henan University;Key Laboratory of Virtual Geographical Environment,Ministry of Education,Nanjing Normal University;College of Urban and Environmental Science,Xinyang Normal University |
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| 基金项目： | The authors would like to thank the reviewers for their detailed reviews and constructive comments. We are also grateful for Sophie Song＇s help on the improving English. This work was supported in part by the ‘Fivetwelfh＇ National Science and Technology Support Program of the Ministry of Science and Technology of China （No. 2012BAH35B02）, the National Natural Science Foundation of China （NSFC） （No. 41401107, No. 41201402, and No. 41201417）. |
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| 摘 要： | Crowd density is an important factor of crowd stability. Previous crowd density estimation methods are highly dependent on the specific video scene. This paper presented a video scene invariant crowd density estimation method using Geographic Information Systems （GIS） to monitor crowd size for large areas. The proposed method mapped crowd images to GIS. Then we can estimate crowd density for each camera in GIS using an estimation model obtained by one camera. Test results show that one model obtained by one camera in GIS can be adaptively applied to other cameras in outdoor video scenes. A real-time monitoring system for crowd size in large areas based on scene invariant model has been successfully used in ＇Jiangsu Qinhuai Lantern Festival, 2012＇. It can provide early warning information and scientific basis for safety and security decision making.
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| 关 键 词： | 地理信息系统 人群密度 视频场景 密度估计 估算模型 实时监控系统 估计方法 安全保障 |
Video Scene Invariant Crowd Density Estimation Using Geographic Information Systems |
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| SONG Hongquan,;LIU Xuejun,;LU Guonian,;ZHANG Xingguo,;WANG Feng. Video Scene Invariant Crowd Density Estimation Using Geographic Information Systems[J]. China Communications, 2014, 0(11): 80-89 |
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| Authors: | SONG Hongquan, LIU Xuejun, LU Guonian, ZHANG Xingguo, WANG Feng |
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| Affiliation: | [1]College of Life Sciences, State Key Laboratory of Cotton Biology, Key Laboratory of Plant Stress Biology,Henan University, Kaifeng 475004 Henan Province, P. R. China; [2]Key Laboratory of Virtual Geographical Environment, Ministry of Education, Nanjing Normal University,Nanjing 210023 Jiangsu Province, P. R. China; [3]College of Urban and Environmental Science, Xinyang Normal University, Xinyang 464000 Henan Province, R R. China |
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| Abstract: | crowd density estimation videoscene invariant GIS video spatial registration |
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| Keywords: | crowd density estimation videoscene invariant GIS video spatial registration |
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