基于视频光流场的车辆检测与跟踪任务书

 2021-10-27 10:10

1. 毕业设计(论文)的内容和要求

近年来,由于视频智能交通系统结果比较准确,并且能较为便利的得到所需要的相应数据,在交通控制中越来越受重视。

根据视频智能交通系统的整个流程,可以给出视频智能交通监控系统的一般模型。

视频智能交通系统的基本任务是要根据实时的路况信息,如实时的视频图像序列等得到对目前路况的全面而准确的描述。

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2. 参考文献

[1] Baryon J L, Fleet D J, Beauchemin S S. Performance of optical flow techniques. InternationalJournal of Computer Vision, 1994, 12(1):43-77.[2] Cruz-Mota, Javier, Bogdanova, Iva, et al. Scale Invariant Feature Transform on the Sphere: Theory and Applications[J]. International Journal of Computer Vision, 2012, 98(2): 217-241.[3]土伟.基于特征点匹配和光流方程的数字图像拼接技术[D].复旦大学,2006.[4]闰丽珍,卢纪临.基于归一化的区域匹配光流计算[[J].河北师范大学学报(自然科学版),2008,32(6):730-733.[5] Heeger D J. Model for the extraction of image flow [J]. Journal of the Optical Society of America.Optics and image science, 1987, 4(8): 1455-1471.[6] Ju Hwan LEE, Sung Yun PARK, Sung Jae KIM, et al. The Study of Phase-Based Optical Flow Technique Using an Adaptive Bilateral Filter[J]. IEICE transactions on information and systems,2012, 95(2): 658-667.[7] David J. Fleet, Allan D. Jepson. Computation of component image velocity from local phase information[J]. International Journal of Computer Vision, 1990: 77-104.[8] 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.[9]江顿,陈震,危水根等.基于结构张量的变分光流计算方法[[J].南昌航空大学学报(自然科学版),2011,25 (2):48-5 3.[10] Ahn Byungtae, Han, Yudeog Kweon, et al. Real-time facial landmarks tracking using active shape model and LK optical flow[C].//2012 9th International conference on ubiquitous robots and ambient intelligence. 2012: 541-543.[11] Pyda B, Brindha R. A novel high speed L-K based optical flow computation[C].//2010 International Conference on Communication and Computational Intelligence. 2010: 104-108.

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