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System and Method for Adapting Generic Classifiers for Object Detection in Particular Scenes Using Incremental Training
System and Method for Adapting Generic Classifiers for Object Detection in Particular Scenes Using Incremental Training
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机译:使用增量训练使通用分类器适应特定场景中目标检测的系统和方法
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摘要
A generic classifier is adapted to detect an object in a particular scene, wherein the particular scene was unknown when the classifier was trained with generic training data. A camera acquires a video of frames of the particular scene. A model of the particular scene model is constructed using the frames in the video. The classifier is applied to the model to select negative examples, and new negative examples are added to the training data while removing another set of existing negative examples from the training data based on an uncertainty measure;. Selected positive examples are also added to the training data and the classifier is retrained until a desired accuracy level is reached to obtain a scene specific classifier.
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