首页> 外国专利> Near-online multi-target tracking using aggregate local flow descriptor (ALFD)

Near-online multi-target tracking using aggregate local flow descriptor (ALFD)

机译:使用聚合本地流描述符(ALFD)的近在线多目标跟踪

摘要

Capturing a video sequence and detecting data coupling between detection and target, where detection is generated using one or more image-based detectors (tracking by detection) Identifying an important target or targets and predicting individual motion, applying an aggregate local flow descriptor to accurately measure the similarity between a pair of detections, and A system and method for tracking a target in a video by applying near online multi-target tracking to perform multi-target tracking given a video sequence is disclosed.
机译:捕获视频序列并检测检测到的目标之间的数据耦合,其中使用一个或多个基于图像的检测器生成检测(通过检测进行跟踪),识别一个或多个重要目标并预测单个运动,应用聚合的局部流描述符准确测量公开了一对检测之间的相似性,以及公开了一种通过在给定视频序列的情况下应用近乎在线的多目标跟踪以执行多目标跟踪来跟踪视频中目标的系统和方法。

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