In the paper,a video detection algorithm based on YoloV3 is proposed,which uses the idea of mobile net to optimize the model,and adopts the video motion adaptive reasoning algorithm based on three frame difference method and particle filter,makes full use of the target correlation between the front and back frames of the video,and finally deploys it on visionfeed.The experimental results show that the single frame detection rate of 0.331 s is realized on the COCO data set,and the speed is increased by 31.9%,which meets the operation requirements of the embedded platform.
Key words
deep learning /
target detection /
YoloV3 algorithm /
VisionSeed /
Mobile-Net
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References
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