Target detection and recognition method based on deep learning
A deep learning and pedestrian detection technology, applied in the field of target detection and recognition based on deep learning
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[0032] The present invention will be further described below in conjunction with the accompanying drawings and specific implementation examples.
[0033] see figure 2 , (1) The beginning of the model is alternately connected by 5 convolutional layers and pooling layers. The main purpose is to propose the features of the image through the convolutional layer, and reduce the dimension of the image through the pooling layer to reduce the calculation dimension accordingly.
[0034] (2) Next is the RPN layer. This method uses two RPN layers to generate candidate windows. The input of one RPN layer is from Conv-5 and the input of the other convolutional layer is from Conv-3. Screening is done based on the windows generated on these two layers. According to the proportional relationship between the feature map sizes in the two convolutional layers, the feature window coordinate position is mapped to the same scale. If the position is repeatedly detected, the target confidence is re...
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