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Systems and methods for tracking persons by utilizing imagery data captured by on-road vehicles

机译:通过利用公路车辆捕获的图像数据跟踪人员的系统和方法

摘要

Systems and methods for tracking persons by utilizing imagery data captured by a plurality of on-road vehicles. A large number of different persons appear in a corpus of imagery data collectively captured by a plurality of on-road vehicles. An initial and limited-accuracy model of one of the persons is used to search and detect visual occurrences of that person in the corpus of imagery data, thereby starting to track that person, in which such search is limited at first to a confined geo-temporal range, in order to limit the number of different persons over which the initial and limited-accuracy model has to search and detect that person. When the visual occurrences of that person are found, a better model can be constructed, which can now be used to expand the geo-temporal range over which yet additional visual occurrences of that person are found and used to better track that person.
机译:通过利用由多个公路车辆捕获的图像数据来跟踪人员的系统和方法。大量不同的人出现在由多个公路车辆共同捕获的一组图像数据中。使用其中一个人的初始且精度有限的模型来搜索和检测该人在图像数据语料库中的视觉事件,从而开始跟踪该人,在这种情况下,这种搜索首先仅限于受限的地理信息。时间范围,以限制初始和有限精度模型必须搜索和检测该人的不同人的数量。找到该人的视觉事件后,可以构建一个更好的模型,该模型现在可以用于扩展时空范围,在该范围上可以找到该人的其他视觉事件,并用来更好地跟踪该人。

著录项

  • 公开/公告号US2020042781A1

    专利类型

  • 公开/公告日2020-02-06

    原文格式PDF

  • 申请/专利权人 GAL ZUCKERMAN;MOSHE SALHOV;

    申请/专利号US201916357446

  • 发明设计人 GAL ZUCKERMAN;MOSHE SALHOV;

    申请日2019-03-19

  • 分类号G06K9;G06K9/62;H04N7/18;G06F16/58;G06F16/587;

  • 国家 US

  • 入库时间 2022-08-21 11:19:00

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