Computer Science ›› 2021, Vol. 48 ›› Issue (11A): 370-375.doi: 10.11896/jsjkx.201000115
• Image Processing & Multimedia Technology • Previous Articles Next Articles
LIU Yan1,2, QIN Pin-le1, ZENG Jian-chao1,2
CLC Number:
[1]REDMON J,DIVVALA S,GIRSHICK R,et al.You Only Look Once:Unified,Real-Time Object Detection[C]//Proceedings of Computer Vision and Pattern Recognition (CVPR).Washington DC:IEEE Computer Society Press,2015:779-788. [2]REDMON J,FARHADI A.YOLO9000:Better,Faster,Stronger[C]//Proceedings of Computer Vision and Pattern Recognition (CVPR).Washington DC:IEEE Computer Society Press,2017:6517-6525. [3]REDMON J,FARHADI A.YOLOv3:An Incremental Improvement[C]//Proceedings of Computer Vision and Pattern Recognition (CVPR).2018:1-6. [4]LIU W,ANGUELOV D,ERHAN D,et al.SSD:Single Shot Multi Box Detector[C]//Proceedings of European Conference on Computer Vision (ECCV).New York:Springer Press,2016:21-37. [5]GIRSHICK R.Fast R-CNN[C]//Proceedings of International Conference on Computer Vision (ICCV).Los Alamitos:IEEE Computer Society Press,2015:1440-1448. [6]REN S,HE K,GIRSHICK R,et al.Faster R-CNN:Towards Real-Time Object Detection with Region Proposal Networks[C]//Proceedings of Annual Conference on Neural Information Processing Systems (NIPS).2015:91-99. [7]REN J,GONG N S,HAN Z Y.Multi target tracking algorithm based on yolov3 and Kalman filter[J].Computer Applications and Software,2020,37(5):169-176. [8]XU Y J.Video multi-target pedestrian detection and trackingbased on deep learning[J].Modern Information Technology,2020(12). [9]WU L,YUE H,CHEN P,et al.A Novel Dynamic Network Pruning via Smooth Initialization and Its Potential Applications in Machine Learning Based Security Solutions[J].IEEE Access,2019,7:91667-91678. [10]WANG S S,WANG M,WANG G Y.Deep Neural NetworkPruning Based Two-Stage Remote Sensing Image Object Detection[J].Journal of Northeastern University(Natural Science),2019,40(2):174-179. [11]POLYAK A,WOLF L.Channel-Level Acceleration of DeepFace Representations[J].IEEE Access,2015,3:2163-2175. [12]ZHANG X Y,ZOU J H,HE K M,et al.Acceleraring Very Deep Convolutional Networks for Classification and Detection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2016,38(10):1943-1955. [13]HOWARD A G,ZHU M,CHEN B,et al.Mobilenets:Efficient convolutional neural networks for mobile vision applications[Z].arXiv:1704.04861,2017. [14]IANDOLA F N,MOSKEWICZ M W,ASHRAF K,et al.Squeezenet:Alexnet-level accuracy with 50x fewer parameters and 1mb model size[J].arXiv:1602.07360,2016. [15]BAE S H,YOON K J.Robust online multi-object tracking based on tracklet confidence and online discriminative appearance learning[C]///Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Los Alamitos:IEEE Computer Society Press,2014:1218-1225. [16]HUANG C,LI Y,NEVATIA R.Multiple target tracking bylearning-based hierarchical association of detection responses[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2013,35(4):898-910. [17]MILAN A,SCHINDLER K,ROTH S.Multi-target tracking by discrete-continuous energy minimization[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2016,38(10):2054-2068. [18]HE Z Y,CUI Y X,WANG H P,et al.One global optimization method in network flow model for multiple object tracking[J].Knowledge-Based Systems,2015,86:21-32. [19]WANG M M,LIU P X,LI X F,et al.Multi-target trackingthrough occlusions using extended Kalman filter and network flows[C] //Proceedings of the 2nd IEEE International Conference on Computer and Communications.Los Alamitos:IEEE Computer Society Press,2016:2611-2617. [20]ZHU S H,SHI Z,SUN C J.Tracklet association based multi-target tracking[J].Multimedia Tools and Applications,2016,75(15):9489-9506. [21]YOON J H,YANG M H,LIM J,et al.Bayesian Multi-Object Tracking Using Motion Context from Multiple Objects[C]//Winter Conference on Applications of Computer Vision (WACV).Waikoloa,HI,USA:IEEE Computer Society,Los Alamitos,CA,USA,2015:33-40. [22]XIANG Y,ALAHI A,SAVARESE S.Learning to Track:Online Multi-Object Tracking by Decision Making[C]//Proceedings of International Conference on Computer Vision (ICCV).Santiago,Chile:IEEE Computer Society,Los Alamitos,CA,USA,2015:4705-4713. |
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