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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

Method for combining boosted classifiers for efficient multi-class object detection
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.
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