Computer Science ›› 2017, Vol. 44 ›› Issue (3): 182-186.doi: 10.11896/j.issn.1002-137X.2017.03.039
Previous Articles Next Articles
ZHANG Yong-liang, ZHANG Zhi-qin, WU Hong-tao, DONG Ling-ping and ZHOU Bing
[1] XIN D S.Perimeter alarm detector selection principle and discuss technology trends[J].China Security,2008(3):67-70.(in Chinese) 辛东升.周界报警探测器选择原则与技术发展趋势探讨[J].中国安防,2008(3):67-70. [2] MIU X,QIAN L B,ZHANG Y,et al.Perimeter intrusion detection alarm system on the market [J].China Security & Protection,2013(10):96-100.(in Chinese) 缪璇,钱六宝,章骅,等.周界入侵探测报警系统市场浅析[J].中国安防,2013(10):96-100. [3] GE Y.Systematic review of outdoor perimeter protection [J].China Security & Protection,2004(5):49-54.(in Chinese) 葛妍.户外周界防护系统综述[J].中国安防产品信息,2004(5):49-54. [4] YAN Z Q,LIU Y J.Surrounding infrared burglar alarm system [J].Security Technology,2007,28(4):1-3.(in Chinese) 阎子勤,刘一江.周边红外防盗报警系统[J].安防科技,2007,28(4):1-3. [5] CHEN Y Z.Application of Intelligent Video Analysis Technology in Perimeter Surveillance and Monitoring System[J].Process Automation Instrumentation,2009,30(11):14-19.(in Chinese) 陈育智.智能视频分析技术在周界报警系统中的应用[J].自动化仪表,2009,30(11):14-19. [6] HINTON G E,SALAKHUTDINOV R R.Reducing the dimensionality of data with neural networks[J].Science,2006,313(5786):504-507. [7] IOFFE S,SZEGEDY C.Batch normalization:Accelerating deep network training by reducing internal covariate shift[C]∥32nd International Conference on Machine Learning(ICML).2005 . [8] SZARVAS M,YOSHIZAWA A,YAMAMOTO M,et al.Pedestrian detection with convolutional neural networks[C]∥Intelligent Vehicles Symposium,2005.IEEE,2005:224-229. [9] TIAN Y,LUO P,WANG X,et al.Pedestrian detection aided by deep learning semantic tasks[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.2015:5079-5087. [10] AHED E,JONES M,MARKST K.An improved deep learning architecture for person re-identification[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.2015:3908-3916. [11] KRIZHEVSKY A,SUTSKEVER I,HINTON G E.Imagenetclassification with deep convolutional neural networks[C]∥Advances in Neural Information Processing Systems.2012:1097-1105. [12] LO S C B,CHAN H P,LIN J S,et al.Artificial convolution neural network for medical image pattern recognition[J].Neural networks,1995,8(7):1201-1214. [13] MURPHY K,TORRALBA A,EATON D,et al.Object detection and localization using local and global features[M]∥Toward Category-Level Object Recognition.Springer Berlin Heidelberg,2006:382-400. [14] LIN C T,HSU S C,LEE J F,et al.Boosted Vehicle Detection Using Local and Global Features[J].Journal of Signal and Information Processing,2013(4):243-252. [15] RAHMATULLAH B,PAPAGEORGHIOU A T,NOBLE J A.Integration of local and global features for anatomical object detection in ultrasound[M]∥Medical Image Computing and Computer-Assisted Intervention-MICCAI 2012.Springer Berlin Heidelberg,2012:402-409. [16] DALAL N,TRIGGS B.Histograms of oriented gradients forhuman detection[C]∥IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2005(CVPR 2005).IEEE,2005,1:886-893. [17] WU B,NEVATIA R.Detection of multiple,partially occludedhumans in a single image by bayesian combination of edgelet part detectors[C]∥Tenth IEEE International Conference on Computer Vision,2005(ICCV 2005).IEEE,2005,1:90-97. [18] DOLLAR P,WOJEK C,SCHIELE B,et al.Pedestrian detec-tion:An evaluation of the state of the art[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2012,34(4):743-761. [19] http://pascal.inrialpes.fr/data/human. [20] http://nicta.com.au/research/projects/AutoMap/computer_vi-sion_datasets. [21] http://www.gavrila.net/Research/Pedestrian_Detection/Daim-ler_Pedestrian_Benchmark_D/Dai-mler_Mono_Ped__Detection_Be/daimler_mono_ped__detection_be.html. [22] http://www.cvc.uab.es/adas/site. |
No related articles found! |
|