Invention Grant
US08655079B2 Reducing false alarms in identifying whether a candidate image is from an object class
有权
在识别候选图像是否来自对象类时减少虚假警报
- Patent Title: Reducing false alarms in identifying whether a candidate image is from an object class
- Patent Title (中): 在识别候选图像是否来自对象类时减少虚假警报
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Application No.: US12049791Application Date: 2008-03-17
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Publication No.: US08655079B2Publication Date: 2014-02-18
- Inventor: Payam Saisan
- Applicant: Payam Saisan
- Applicant Address: US MA Waltham
- Assignee: Raytheon Company
- Current Assignee: Raytheon Company
- Current Assignee Address: US MA Waltham
- Agency: Daly, Crowley, Mofford & Durkee, LLP
- Main IPC: G06K9/46
- IPC: G06K9/46 ; G06K9/00 ; G06K9/62 ; H04N5/225 ; G01S13/00

Abstract:
In one aspect, a method to reduce false alarms in identifying whether a candidate image is from an object class includes projecting the candidate image onto an object class subspace and projecting the candidate image onto a non-object class subspace. The method also includes determining whether the candidate image is from the object class using a Bayesian decision function based on the projections on the object class subspace and the non-object class subspace.In another aspect, a method to reduce false alarms in identifying whether a candidate mine image is from a mine class includes projecting the candidate mine image onto a mine subspace and projecting the candidate mine image onto a non-mine subspace. The method also includes determining whether the candidate mine image represents a mine using a Bayesian decision function based on the projections on the mine class subspace and the non-mine class subspace.
Public/Granted literature
- US20090232406A1 REDUCING FALSE ALARMS IN IDENTIFYING WHETHER A CANDIDATE IMAGE IS FROM AN OBJECT CLASS Public/Granted day:2009-09-17
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