Efficient and Robust Large-Scale Multisensor-Multitarget Surveillance Algorithms
Efficient and Robust Large-Scale Multisensor-Multitarget Surveillance Algorithms
批准号:
349292-2007
负责人:
Kirubarajan, Thia
金额:
$1.09万
依托单位:
依托单位国家:
加拿大
项目类别:
Department of National Defence / NSERC Research Partnership
财政年份:
2011
资助国家:
加拿大
项目状态:
已结题
起止时间:
2011-01-01 至 2012-12-31
中文摘要
对加拿大广阔的海、空、陆边界的监视在国防中发挥着至关重要的作用。跟踪进出空中、海洋、地面和空间物体(或目标)的运动,融合来自雷达、声纳、卫星和视频等多种传感器资源的信息,并识别目标的类型和意图,是监视的组成部分。虽然多年来在目标跟踪算法方面有了很大的发展,但由于大量和各种新传感器的可用,高度灵活和隐身的目标的存在,以及比以往任何时候都迫切需要更准确地检测、识别和跟踪目标,目标跟踪问题本身变得更加复杂。
英文摘要
Surveillance of Canada's extensive air, sea and ground boundaries plays a vital role in the defense of the nation. Tracking the motion of incoming and outgoing air, sea, ground and space objects (or targets), fusing the information from a multitude of sensor resources like radar, sonar, satellites and video, and identifying the targets' types and intentions are integral parts of surveillance. While there have been significant algorithm developments in target tracking over a number of years, the problem itself has become more complicated because of the availability of a large number and variety of new sensors, presence of highly agile and stealthy targets and the urgent need to detect, identify and track targets more accurately than ever before.
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依托单位:
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批准号:521710-2016
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批准号:507969-2017
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项目类别:Discovery Grants Program - Accelerator Supplements
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资助金额:$2.91万
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负责人:Kirubarajan, Thia
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依托单位:
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批准号:501206-2016
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项目类别:Department of National Defence / NSERC Research Partnership
-
资助金额:$13.11万
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-
依托单位:
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-
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财政年份:2018
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负责人:Kirubarajan, Thia
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依托单位:
国内基金
海外基金
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