发明授权
US08358855B2 Determining probabilities from compared covariance appearance models to detect objects of interest in images
有权
从比较的协方差外观模型确定概率以检测图像中感兴趣的对象
- 专利标题: Determining probabilities from compared covariance appearance models to detect objects of interest in images
- 专利标题(中): 从比较的协方差外观模型确定概率以检测图像中感兴趣的对象
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申请号: US12499707申请日: 2009-07-08
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公开(公告)号: US08358855B2公开(公告)日: 2013-01-22
- 发明人: Rida Hamza , Kwong Wing Au , Santosh Mathan
- 申请人: Rida Hamza , Kwong Wing Au , Santosh Mathan
- 申请人地址: US NJ Morristown
- 专利权人: Honeywell International Inc.
- 当前专利权人: Honeywell International Inc.
- 当前专利权人地址: US NJ Morristown
- 代理机构: Ingrassia Fisher & Lorenz, P.C.
- 主分类号: G06K9/68
- IPC分类号: G06K9/68
摘要:
Methods and apparatus are provided for recognizing particular objects of interest in a captured image. One or more salient features that are correlative to an object of interest are detected within a captured image. The captured image is segmented into one or more regions of interest that include a detected salient feature. A covariance appearance model is generated for each of the one or more regions of interest, and first and second comparisons are conducted. The first comparisons comprise comparing each of the generated covariance appearance models to a plurality of stored covariance appearance models, and the second comparisons comprise comparing each of the generated covariance appearance models to each of the other generated covariance appearance model. Based on the first and second comparisons, a determination is made as to whether each of the one or more detected salient features is a particular object of interest.
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