In order to use the video image information to detect and track the target in real time,based on the lightweight deep learning target detection network SSD_Mobilenetv1,by improving its network structure,using the more fine-grained feature map to participate in position regression and classification to integrate the context information of the network and introduce the inverse,the residual module improves the ability of the network to extract features.The experiment shows that the real-time detection speed is guaranteed and the detection accuracy is improved,and the training and verification on KITTI data set have achieved good results.
参考文献
相似文献
引证文献
引用本文
张俊蓉,徐长彬,唐明周,鹿玮,卞紫阳.基于SSD改进的目标检测方法研究[J].激光与红外,2019,49(8):1019~1025 ZHANG Jun-rong, XU Chang-bin, TANG Ming-zhou, LU Wei, BIAN Zi-yang. The improved target detection methods based on SSD network[J]. LASER & INFRARED,2019,49(8):1019~1025