[1]
|
Liang Junbin,Xu Jianmin.Detection of Trans-line Ve-hicles Based on Inductive Loop[J].Journal of SouthChina University of Technology(NaturalScience Edi-tion),2007,35(7):20-24(梁俊斌,徐建闽.基于感应线圈的骑线车辆检测方法[J].华南理工大学学报:自然科学版,2007,35(7):20-24)[2] Zhang Hao,Xue Wei,Yu Wen,et al.Method ofRecognizing Background Power Spectrum Used inMillimetre Wave Traffic Flow Detection Radar[J].Journal of Infrared and Millimeter Waves,2008,27(6):437-441(张浩,薛伟,余稳,等.一种应用于毫米波车流量检测雷达的背景功率谱识别方法[J].红外与毫米波学报,2008,27(6):437-441)[3] Moscheni F,Bhattacharjee S,Kunt M.Spatio-tem-poral Segmentation Based on Region Merging[J].Pattern Analysis and Machine Intelligence,IEEETransactions on,1998,20(9):897-915[4] Wixson L.Detecting Salient Motion by Accumula-ting Directionally-consistent Flow[J].Pattern A-nalysis and Machine Intelligence,IEEE Transac-tions on,2000,22(8):774-780[5] Elgammal A,Harwood D,Davis L.Non-paramet-ric Model for Background Subtraction[C].Comput-er Vision—ECCV,Ireland,2000[6] Wu Jiapeng,Yang Zhaoxuan,Wu Jun,et al.VirtualLine Group Based Video Vehicle Detection Algo-rithm Utilizing Both Luminance and Chrominance[C].ICIEA,Harbin,2007[7] Wu B F,Juang J H.Adaptive Vehicle Detector Ap-proach for Complex Environments[J].IntelligentTransportation Systems,IEEE Transactions on,2012,13(2):817-827[8] Zhu S,Gu M,Liu J.Moving Vehicle Detection andTracking Algorithm in Traffic Video[J].TELKOMNIKA Indonesian Journal of ElectricalEngineering,2013,11(6):3 053-3 059[9] Cao J,Wang W,Liang Y.An Improved DetectionAlgorithm of Moving Vehicles Based on ComputerVision[C].Intelligent Computing and IntelligentSystem,Shanghai,2009[10] Wu C,Cao X,Lin R,et al.Registration-basedMoving Vehicle Detection for Low-altitude UrbanTraffic Surveillance[C].Intelligent Control and Au-tomation(WCICA),Shanghai,2010[11] O’Malley R,Jones E,Glavin M.Rear-lamp Vvehi-cle Detection and Tracking in Low-exposure ColorVideo for Night Condition[J].Intelligent Trans-portation Systems,IEEE Transactions on,2010,11(2):453-462[12] Cao X,Wu C,Yan P,et al.Linear SVM Classifi-cation Using Boosting HOG Features for VehicleDetection in Low-altitude Airborne Videos[C].Im-age Processing (ICIP),18th IEEE InternationalConference on IEEE,Brussels,2011[13] Cheng H Y,Weng C C,Chen Y Y.Vehicle Detec-tion in Aerial Surveillance Using Dynamic BayesianNetworks[J].Image Processing,IEEE Transac-tions on,2012,21(4):2 152-2 159[14] Dalal N,Triggs B.Histograms of Oriented Gradi-ents for Human Detection[C].Computer Visionand Pattern Recognition,San Diego,USA,2005[15] Chen Long,Pan Zhiming,Mao Qingzhou,et al.HOG-LBP Adaptable Fused Features Based Methodfor Forbidden Traffic Signs Detection[J].Geomaticsand Information Science of Wuhan University,2013,38(2):191-194(陈龙,潘志明,毛庆洲,等.利用HOG-LBP自适应融合特征实现禁令交通标志检测[J].武汉大学学报·信息科学版,2013,38(2):191-194)[16] Bian Zhaoqi,Zhang Xuegong.Pattern Recognition [M].Beijing:Tsinghua University PublicationsInc,2000(边肇祺,张学工.模式识别[M].北京:清华大学出版社有限公司,2000) |