首页> 外国专利> Methods and systems for predicting flow of crowds from limited observations

Methods and systems for predicting flow of crowds from limited observations

机译:通过有限的观察预测人群流量的方法和系统

摘要

Systems and methods for determining flows by acquiring a video of the flows with a camera, wherein the flows are pedestrians in a scene. The video includes a set of frames, wherein motion vectors are extracted from each frame in the set, and a data matrix is constructed from the motion vectors in the set of frames. A low rank Koopman operator can be determined from the data matrix and a spectrum of the low rank Koopman operator can be analyzed to determine a set of Koopman modes. Then, the frames are segmented into independent flows according to a clustering of the Koopman modes.
机译:通过使用相机获取流的视频来确定流的系统和方法,其中,流是场景中的行人。该视频包括一组帧,其中从该组中的每个帧提取运动矢量,并且从该组帧中的运动矢量构造数据矩阵。可以从数据矩阵确定低阶库普曼算子,并且可以分析低阶库普曼算子的频谱以确定一组库普曼模式。然后,根据库普曼模式的聚类将帧分割为独立的流。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号