发明名称 METHOD FOR COMBINING BOOSTED CLASSIFIERS FOR EFFICIENT MULTI-CLASS OBJECT DETECTION
摘要 <p>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.</p>
申请公布号 WO2005111918(A1) 申请公布日期 2005.11.24
申请号 WO2005US15854 申请日期 2005.05.05
申请人 SIEMENS CORPORATE RESEARCH, INC.;SIEMENS AKTIENGESELLSCHAFT;BAHLMANN, CLAUS;ZHU, YING;COMANICIU, DORIN;KOEHLER, THORSTEN;PELLKOFER, MARTIN 发明人 BAHLMANN, CLAUS;ZHU, YING;COMANICIU, DORIN;KOEHLER, THORSTEN;PELLKOFER, MARTIN
分类号 G06K9/62;(IPC1-7):G06K9/62 主分类号 G06K9/62
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