发明授权
US08300102B2 Apparatus and method for inferencing topology of multiple cameras network by tracking movement
有权
通过跟踪运动推测多台摄像机网络的拓扑结构的装置和方法
- 专利标题: Apparatus and method for inferencing topology of multiple cameras network by tracking movement
- 专利标题(中): 通过跟踪运动推测多台摄像机网络的拓扑结构的装置和方法
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申请号: US12675682申请日: 2007-10-23
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公开(公告)号: US08300102B2公开(公告)日: 2012-10-30
- 发明人: Yun Young Nam , Jung Hun Ryu , We-Duke Cho
- 申请人: Yun Young Nam , Jung Hun Ryu , We-Duke Cho
- 申请人地址: KR Suwon-si
- 专利权人: AJOU University Industry Cooperation Foundation
- 当前专利权人: AJOU University Industry Cooperation Foundation
- 当前专利权人地址: KR Suwon-si
- 代理机构: Stein McEwen, LLP
- 优先权: KR10-2007-0086253 20070827
- 国际申请: PCT/KR2007/005225 WO 20071023
- 国际公布: WO2009/028761 WO 20090305
- 主分类号: H04N5/225
- IPC分类号: H04N5/225 ; G06K9/00
摘要:
Provided are an apparatus and a method for tracking movements of objects to infer a topology of a network of multiple cameras. The apparatus infers the topology of the network formed of the multiple cameras that sequentially obtain images and includes an object extractor, a haunting data generator, and a haunting database (DB), and a topology inferrer. The object extractor extracts at least one from each of the obtained images, for the multiple cameras. The haunting data generator generates appearing cameras and appearing times at which the moving objects appear, and disappearing cameras and disappearing times at which the moving objects disappear, for the multiple cameras. The haunting DB stores the appearing cameras and appearing times and the disappearing cameras and disappearing times of the moving object, for the multiple cameras. The topology inferrer infers the topology of the network using the appearing cameras and appearing times and the disappearing cameras and disappearing times of moving objects. Therefore, the apparatus accurately infers topologies and distances among the multiple cameras in the network of the multiple cameras using the cameras and appearing and disappearing times at which the moving objects appear and disappear. As a result, the apparatus accurately track the moving objects in the network.
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