[1] 王为,姚明海.基于计算机视觉的智能交通监控系统[J].浙江工业大学学报,2010,38(5):574-579.(WANG W,YAO M H. Intelligent transportation monitoring system based on computer vision[J]. Journal of Zhejiang University of Technology, 2010, 38(5):574-579.) [2] 李乐平,高杨.一种高准确率的交通监控视频车辆检测算法[J].计算机测量与控制,2015,23(3):852-854.(LI L P, GAO Y. A high accuracy and low compute cost approach in traffic video vehicles classification[J]. Computer Measurement and Control, 2015, 23(3):852-854.) [3] 石祥滨,王萌,张德园,等.种持续光流跟踪的运动目标检测方法[J].小型微型计算机系统,2014,35(3):642-647.(SHI X B, WANG M, ZHANG D Y, et al. An approach for moving object detection using continuing tracking optical flow[J]. Journal of Chinese Computer Systems, 2014, 35(3):642-647.) [4] HORN B K P, SCHUNCK B G. Determining optical flow[J].Artificial Intelligence, 1981, 17(1/2/3):185-203. [5] 宋爽,杨健,王涌天.全局光流场估计技术及展望[J].计算机辅助设计与图形学学报,2014,26(5):841-850.(SONG S, YANG J, WANG Y T. Technology and prospect of global optical flow[J]. Journal of Computer-Aided Design and Computer Graphics, 2014, 26(5):841-850.) [6] LUCAS B D, KANADE T. An iterative image registration technique with an application to stereo vision[J]. Proceedings of the 7th International Joint Conference on Artificial Intelligence. San Francisco, CA:Morgan Kaufmann Publishers, 1981,2:674-679. [7] NAGEL H H, ENKELMANN W. An investigation of smoothness constraints for the estimation of displacement vector fields from image sequences[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986, 8(5):565-593. [8] TAO M, BAI J, KOHLI P, et al. SimpleFlow:a non-iterative, sublinear optical flow algorithm[J]. Computer Graphics Forum, 2012, 31(2pt1):345-353. [9] PARVATHY R, THILAKAN S, JOY M, et al. Anomaly detection using motion patterns computed from optical flow[C]//Proceedings of the 2013 Third International Conference on Advances in Computing and Communications. Washington, DC:IEEE Computer Society, 2013:58-61. [10] 陈添丁,胡鉴,吴涤.稀疏光流快速计算的动态目标检测与跟踪[J].中国图象图形学报,2013,18(12):1593-1600.(CHEN T D, HU J, WU D. Dynamic target detection and tracking based on fast computation using sparse optical flow[J]. Journal of Image and Graphics, 2013, 18(12):1593-1600.) [11] 郑驰,项志宇,刘济林.融合光流与特征点匹配的单目视觉里程计[J].浙江大学学报(工学版),2014,48(2):279-284.(ZHENG C, XIANG Z Y, LIU J L. Monocular vision odometry based on the fusion of optical flow and feature points matching[J]. Journal of Zhejiang University (Engineering Science), 2014, 48(2):279-284.) [12] 张志禹,刘耀阳.基于SURF与光流法的增强现实跟踪注册[J].计算机工程与应用,2015,51(3):166-170.(ZHANG Z Y, LIU Y Y. Tracking and AR registration based on SURF and optical flow method[J]. Computer Engineering and Applications, 2015, 51(3):166-170.) [13] BAY H, TUYTELAARS, VAN GOOL L. SURF:speeded up robust features[C]//Computer Vision-ECCV 2006, LNCS 3951. Berlin:Springer, 2006:404-417. |