[1] 张可,杨灿坤,周春平,等.无人机视频图像运动目标检测算法综述[J].液晶与显示,2019,34(1):98-109.ZHANG K,YANG C K,ZHOU C P,et al.Review of moving target detection algorithms for UAV video images[J].Chinese Journal of Liquid Crystals and Displays,2019,34(1):98-109(in Chinese). [2] GIRSHICK R,DONAHUE J,DARRELL T,et al.Rich feature hierarchies for accurate object detection and semantic segmentation[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Piscataway,NJ:IEEE Press,2014:580-587. [3] GIRSHICK R.Fast R-CNN[C]//Proceedings of the IEEE International Conference on Computer Vision.Piscataway,NJ:IEEE Press,2015:1440-1448. [4] REN S,HE K,GIRSHICK R,et al.Faster R-CNN:Towards real-time object detection with region proposal networks[C]//Advances in Neural Information Processing Systems.Red Hook,NY:Curran Associates,2015:91-99. [5] DAI J,LI Y,HE K,et al.R-FCN:Object detection via region-based fully convolutional networks[C]//Advances in Neural Information Processing Systems.Red Hook,NY:Curran Associates,2016:379-387. [6] REDMON J,DIVVALA S,GIRSHICK R,et al.You only look once:Unified,real-time object detection[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Piscataway,NJ:IEEE Press,2016:779-788. [7] LIU W,ANGUELOV D,ERHAN D,et al.SSD:Single shot multibox detector[C]//Proceedings of the European Conference on Computer Vision.Berlin:Springer,2016:21-37. [8] IANDOLA F N,HAN S,MOSKEWICZ M W,et al.SqueezeNet:AlexNet-level accuracy with 50x fewer parameters and <0.5 MB model size[EB/OL].(2016-11-04)[2019-06-01] https://arxiv.org/abs/1602.07360. [9] ZHANG X,ZHOU X,LIN M,et al.Shufflenet:An extremely efficient convolutional neural network for mobile devices[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Piscataway,NJ:IEEE Press,2018:6848-6856. [10] HOWARD A G,ZHU M,CHEN B,et al.MobileNet:Efficient convolutional neural networks for mobile vision applications[EB/OL].(2017-04-17)[2019-06-01] https://arxiv.org/abs/1704.04861. [11] 顾帅.Android移动平台下基于深度学习的目标检测技术研究[D].西安:西安电子科技大学,2018.GU S.Deep learning based object detection technology research under android mobile platform[D].Xi'an:Xidian University,2018(in Chinese). [12] 吴广伟.基于移动终端的轻量级卷积神经网络研究与实现[D].西安:西安电子科技大学,2018.WU G W.Research and implementation of lightweight convolution neural network based on mobile terminal[D].Xi'an:Xidian University,2018(in Chinese). [13] ZHU X,WANG Y,DAI J,et al.Flow-guided feature aggregation for video object detection[C]//Proceedings of the IEEE International Conference on Computer Vision.Piscataway,NJ:IEEE Press,2017:408-417. [14] WANG S,ZHOU Y,YAN J,et al.Fully motion-aware network for video object detection[C]//Proceedings of the European Conference on Computer Vision.Berlin:Springer,2018:542-557. [15] HAN W,KHORRAMI P,PAINE T L,et al.Seq-NMS for video object detection[EB/OL].(2016-08-22)[2019-06-01].https://arxiv.org/abs/1602.08465. [16] KANG K,LI H,YAN J,et al.T-CNN:Tubelets with convolutional neural networks for object detection from videos[J].IEEE Transactions on Circuits and Systems for Video Technology,2018,28(10):2896-2907. [17] SHUAI H,LIU Q,ZHANG K,et al.Cascaded regional spatio-temporal feature-routing networks for video object detection[J].IEEE Access,2018,6:3096-3106. [18] 余启明.基于背景减法和帧差法的运动目标检测算法研究[D].赣州:江西理工大学,2013.YU Q M.Moving object detection research based on background subtraction and frame difference[D].Ganzhou:Jiangxi University of Science and Technology,2013(in Chinese). [19] GUNNAR F.Two-frame motion estimation based on polynomial expansion[C]//Scandinavian Conference on Image Analysis.Berlin:Brev Publishing,2003:363-370. [20] DU D,QI Y,YU H,et al.The unmanned aerial vehicle benchmark:Object detection and tracking[C]//Proceedings of the European Conference on Computer Vision.Berlin:Springer,2018:370-386. [21] ZHU P,WEN L,DU D,et al.VisDrone-VDT2018:The vision meets drone video detection and tracking challenge results[C]//Proceedings of the European Conference on Computer Vision.Berlin:Springer,2018:496-518. [22] ZHU P,WEN L,DU D,et al.Visdrone-DET2018:The vision meets drone object detection in image challenge results[C]//European Conference on Computer Vision.Berlin:Springer,2018:437-468. |