发明申请
US20110243386A1 Method and System for Multiple Object Detection by Sequential Monte Carlo and Hierarchical Detection Network
有权
通过连续蒙特卡罗和分层检测网络进行多目标检测的方法与系统
- 专利标题： Method and System for Multiple Object Detection by Sequential Monte Carlo and Hierarchical Detection Network
- 专利标题（中）： 通过连续蒙特卡罗和分层检测网络进行多目标检测的方法与系统
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申请号： US13080964申请日： 2011-04-06
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公开(公告)号： US20110243386A1公开(公告)日： 2011-10-06
- 发明人: Michal Sofka , Jingdan Zhang , Shaohua Kevin Zhou , Dorin Comaniciu
- 申请人： Michal Sofka , Jingdan Zhang , Shaohua Kevin Zhou , Dorin Comaniciu
- 申请人地址： US NJ Iselin
- 专利权人： Siemens Corporation
- 当前专利权人： Siemens Corporation
- 当前专利权人地址： US NJ Iselin
- 主分类号： G06K9/00
- IPC分类号： G06K9/00
摘要：
A method and system for detecting multiple objects in an image is disclosed. A plurality of objects in an image is sequentially detected in an order specified by a trained hierarchical detection network. In the training of the hierarchical detection network, the order for object detection is automatically determined. The detection of each object in the image is performed by obtaining a plurality of sample poses for the object from a proposal distribution, weighting each of the plurality of sample poses based on an importance ratio, and estimating a posterior distribution for the object based on the weighted sample poses.