[1]
Xing Huang: Study of Velocity Measurement System by Video Based on DSP. Master thesis, Tianjin University of Technology (2012).
Google Scholar
[2]
Xing Tong: The Traffic Video Speed Measuring System Based on Component Design and Implementation. Master thesis, Nanchang University (2009).
Google Scholar
[3]
Junjie Zhu, Yang Gao: submitted to Journal of China metrology 51(2), 49-51 (2007).
Google Scholar
[4]
Tom, S.F., Tao, X.: Background Subtraction with Dirichlet Processes: in European Conference on Computer Vison. LNCS, vol. 7575, pp.99-113. Springer, Heidelberg (2012).
Google Scholar
[5]
Sayanan, S., Mohan, M. T.: A Review of Recent Developments in Vision-Based Vehicle Detection. in IEEE Intelligent Vehicles Symposium (IV) pp.310-315. Australia (2013).
Google Scholar
[6]
Brutzer, S., Hoferlin, B.: Evaluation of Background Subtraction Techniques for Video Surveillance. IEEE Conference on Computer Vision and Pattern Recognition. pp.1937-1944. IEEE Press, New York (2011).
DOI: 10.1109/cvpr.2011.5995508
Google Scholar
[7]
Information on http: /www. changedetection. net.
Google Scholar
[8]
M. Hofmann.: Background Segmentation with Feedback: The Pixel Based Adaptive Segmenter. Computer Vision and Pattern Recognition Workshops (CVPRW), 2012 IEEE Computer Society Conference on, pp.38-43. Washington (2012).
DOI: 10.1109/cvprw.2012.6238925
Google Scholar
[9]
Zhang, S., Yao, H.: Dynamic Background Modeling and Subtraction Using Spatio-Temporal Local Binary Patterns. in 15th IEEE International Conference, pp.1556-1559. IEEE Computer Society, Washington (2008).
DOI: 10.1109/icip.2008.4712065
Google Scholar
[10]
A. Schick.M. Bäuml.: Improving Foreground Segmentations with Probabilistic Superpixel Markov Random Fields. in proc of IEEE Workshop on Change Detection, pp.4321-4325. IEEE Computer Society, Washington (2012).
DOI: 10.1109/cvprw.2012.6238923
Google Scholar
[11]
L. Maddalena, A. Petrosino: The SOBS Algorithm: What are the Limits. in Computer Vision and Pattern Recognition Workshops (CVPRW), 2012 IEEE Computer Society Conference. pp.21-26. IEEE Computer Society, Washington (2012).
DOI: 10.1109/cvprw.2012.6238922
Google Scholar
[12]
Zhang, R., Zhang, S.: Moving Objects Detection Method Based on Brightness Distortion and Chromaticity Distortion. J. IEEE Trans on Consumer Electronics 53(3), 1177-1185(2007).
DOI: 10.1109/tce.2007.4341602
Google Scholar
[13]
Lin Li, Huanzhang Lu, et al.: submitted to Journal of Video Application & Project. (2013) In Chinese.
Google Scholar
[14]
Fan Yang: Research on Vehicle Speed Detection Technology Based on Video. Master thesis, Harbin Institute of Technology (2008).
Google Scholar
[15]
Jingjing Wang, Mingxiu Lin, et al: submitted to Journal of Central South University (Science and Technology). (2009) In Chinese.
Google Scholar
[16]
Lixia Xue, Yanli Luo: submitted to Journal of Application Research of Computers. (2011) In Chinese.
Google Scholar
[17]
Hui Li: The Research on Video-based Detection and Tracking Method of Vehicle in Intelligent Transportation Systems. Master thesis, East China Normal University (2010).
Google Scholar
[18]
Bo Li: Study on Moving Object Detection and Tracking in Video Sequences. PhD thesis, Beijing Jiaotong University (2011).
Google Scholar
[19]
Jun Chu, Mang Shi and Xiang Fu: submitted to Journal of Nanchang Hangkong University (Natural Sciences). (2011) In Chinese.
Google Scholar
[20]
Huibin Deng, Bangshu Xiong: submitted to Journal of Semiconductor Optoelectronics. (2009)In Chinese.
Google Scholar
