Abstract
In the era of artificial intelligence, with the rapid development of computer hardware, the defects of neural network algorithm have been further improved, the technology of artificial intelligence is progressing, the algorithm and technology of target detection have been further improved, and pedestrian detection technology is an important research direction of target detection technology. The main research content of this paper consists of three parts: the improvement of the original SSD algorithm, and the fundamental composition and characteristics of the neural network; Changing VGG16, the basis of the original SSD algorithm, to Resnet50 can improve the detection speed and accuracy. A feature fusion module is introduced to fuse the feature map with large receptive field and small receptive field, so as to improve the overall expression ability of the feature map to the image.
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