Shadow detection based on adaboost classifiers in a co-training framework

@article{Zhao2011ShadowDB,
  title={Shadow detection based on adaboost classifiers in a co-training framework},
  author={Jie Zhao and Suhong Kong and Guozun Men},
  journal={2011 Chinese Control and Decision Conference (CCDC)},
  year={2011},
  pages={1672-1676}
}
The problem of shadow detection is a challenging assignment in video surveillance systems. There are plentiful research achievements about shadow detection but they are not intellective owning to abundant manual input. In this paper, we describe a semi-supervised ensemble technique based on adaboost classifiers in a co-training framework. In this way to detect shadows just demand a fraction of labled datas, and then apply unlabled datas to enhance categorical performance. In the co-training… CONTINUE READING

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