Invention Grant
US07769228B2 Method for combining boosted classifiers for efficient multi-class object detection
有权
用于组合升级分类器以实现高效多类对象检测的方法
- Patent Title: Method for combining boosted classifiers for efficient multi-class object detection
- Patent Title (中): 用于组合升级分类器以实现高效多类对象检测的方法
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Application No.: US11111640Application Date: 2005-04-21
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Publication No.: US07769228B2Publication Date: 2010-08-03
- Inventor: Claus Bahlmann , Ying Zhu , Dorin Comaniciu , Thorsten Köhler , Martin Pellkofer
- Applicant: Claus Bahlmann , Ying Zhu , Dorin Comaniciu , Thorsten Köhler , Martin Pellkofer
- Applicant Address: US NJ Iselin DE Munich
- Assignee: Siemens Corporation,Siemens Aktiengesellschaft
- Current Assignee: Siemens Corporation,Siemens Aktiengesellschaft
- Current Assignee Address: US NJ Iselin DE Munich
- Main IPC: G06K9/62
- IPC: G06K9/62

Abstract:
A method for training a system for detecting multi-class objects in an image or a video sequence is described. A common ensemble of weak classifiers for a set of object classes is identified. For each object class, a separate weighting scheme is adapted for the ensemble of weak classifiers. A method for detecting objects of multiple classes in an image or a video sequence is also disclosed. Each class is assigned a detector that is implemented by a weighted combination of weak classifiers such that all of the detectors are based on a common ensemble of weak classifiers. Then weights are individually set for each class.
Public/Granted literature
- US20050249401A1 Method for combining boosted classifiers for efficient multi-class object detection Public/Granted day:2005-11-10
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