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METHOD FOR COMBINING BOOSTED CLASSIFIERS FOR EFFICIENT MULTI-CLASS OBJECT DETECTION

机译:有效多类对象检测的组合分类器方法

摘要

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.
机译:描述了一种用于训练用于检测图像或视频序列中的多类对象的系统的方法。确定了一组对象类的弱分类器的总体集合。对于每个对象类别,针对弱分类器的集合采用单独的加权方案。还公开了一种用于检测图像或视频序列中的多个类别的对象的方法。为每个类别分配一个检测器,该检测器由弱分类器的加权组合实现,因此所有检测器均基于弱分类器的公共集合。然后为每个类别分别设置权重。

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