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Crowd Escape Event Detection via Pooling Features of Optical Flow for Intelligent Video Surveillance Systems

机译：人群逃生事件检测通过池智能视频监控系统的光学流量的汇集特征

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Gajendra Singh; Arun Khosla; Rajiv Kapoor;
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1. Crowd Escape Event Detection via Pooling Features of Optical Flow for Intelligent Video Surveillance Systems [J] . Gajendra Singh, Arun Khosla, Rajiv Kapoor International Journal of Image, Graphics and Signal Processing . 2019,第10期

机译：通过智能视频监控系统的光流汇聚功能检测人群逃生事件
2. Extracting foreground ensemble features to detect abnormal crowd behavior in intelligent video-surveillance systems [J] . Chan Yi-Tung, Wang Shuenn-Jyi, Tsai Chung-Hsien Journal of electronic imaging . 2017,第5期

机译：提取前景合奏特征以检测智能视频监控系统中的异常人群行为
3. Application of Integral Optical Flow for Determining Crowd Movement from Video Images Obtained Using Video Surveillance Systems [J] . Chen H., Ye Sh., Nedzvedz O. V., Journal of Applied Spectroscopy . 2018,第1期

机译：应用整体光学流量从视频监控系统获得的视频图像确定人群运动
4. Crowd Event Detection in Surveillance Video An Approach based on Optical Flow High-frequency Feature Analysis [C] . Ana Paula G. S. de Almeida, Vitor de Azevedo Faria, Flavio de Barros Vidal International Conference on Computer Vision Theory and Applications . 2015

机译：监控视频中的人群事件检测基于光流高频特征分析的方法
5. Real-time surveillance system: Video, audio, and crowd detection [D] . Wu, Xinyu 2008

机译：实时监控系统：视频，音频和人群检测
6. Detection of Abnormal Events via Optical Flow Feature Analysis [O] . Tian Wang, Hichem Snoussi 2015

机译：通过光流特征分析检测异常事件
7. Face Occlusion Detection Using Skin Color Ratio and LBP Features for Intelligent Video Surveillance Systems [O] . Pengfei Ji, Yonghwa Kim, Yong Yang, 2016

机译：使用肤色比和LBP特征对智能视频监控系统的脸部闭塞检测
8. Intelligence Surveillance And Reconnaissance Full Motion Video Automatic Anomaly Detection Of Crowd Movements: System Requirements For Airborne Application. [R] . Yarovinskiy, A. 2017

机译：智能监视和侦察全动态视频自动异常检测人群移动：机载应用的系统要求。

Crowd Escape Event Detection via Pooling Features of Optical Flow for Intelligent Video Surveillance Systems

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