Invention Grant
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
- Patent Title: Determining probabilities from compared covariance appearance models to detect objects of interest in images
- Patent Title (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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Application No.: US12499707Application Date: 2009-07-08
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Publication No.: US08358855B2Publication Date: 2013-01-22
- Inventor: Rida Hamza , Kwong Wing Au , Santosh Mathan
- Applicant: Rida Hamza , Kwong Wing Au , Santosh Mathan
- Applicant Address: US NJ Morristown
- Assignee: Honeywell International Inc.
- Current Assignee: Honeywell International Inc.
- Current Assignee Address: US NJ Morristown
- Agency: Ingrassia Fisher & Lorenz, P.C.
- Main IPC: G06K9/68
- IPC: G06K9/68

Abstract:
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.
Public/Granted literature
- US20110007940A1 AUTOMATED TARGET DETECTION AND RECOGNITION SYSTEM AND METHOD Public/Granted day:2011-01-13
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