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