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Fire and smoke detection is an important technology in the fire monitoring system. This paper presents a method of fire and smoke detection based on Surendra background and gray bitmap plane algorithm. In our method, the dynamic background based on Otsu adaptive threshold and Surendra background first is modeled, and then the moving target is extracted by(More)
To increase speed and accuracy of human face location with Adaboost algorithm, this article proposes a human face location method combining Adaboost with convolutional neural network (CNN). This method firstly uses CNN algorithm to carry out human face training, then applies Gaussian mixture model to establish a background and gets moving targets through(More)
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