ZUO Jing, DOU Xiang-sheng. The Model and Application of Video Vehicle Classification and Counting[J]. Operations Research and Management Science, 2020, 29(1): 124-130.
[1] Zeng H C, Lai S H. Adaptive foreground object extraction for real-time video surveillance with lighting variations[C]. IEEE International Conference on Acoustics.USA: IEEE, 2007, 1: I-1201-I-1204. [2] Rother C, Kolmogorov V, Blake A. Grabcut: Interactive foreground extraction using iterated graph cuts[J]. ACM Transactions on Graphics(TOG), 2004, 23(3): 309-314. [3] Lam W W L, Pang C C C, Yung N H C. Highly accurate texture-based vehicle segmentation method[J]. Optical engineering, 2004, 43(3): 591-603. [4] Pang C C C, Lam W W L, Yung N H C. A novel method for resolving vehicle occlusion in a monocular traffic-image sequence[J]. Intelligent Transportation Systems IEEE Transactions on, 2004, 5(3): 129-141. [5] Huang C L, Liao W C. A vision-based vehicle identification system[C]. International Conference on Pattern Recognition.USA:IEEE, 2004, 4: 364-367. [6] Zhang W, Wu Q M J, Yang X, et al.. Multilevel framework to detect and handle vehicle occlusion[J]. IEEE Transactions on Intelligent Transportation Systems, 2008, 9(1): 161-174. [7] Ozkurt C, Camci F. Automatic traffic density estimation and vehicle classification for traffic surveillance systems using neural networks[J]. Mathematical and Computational Applications, 2009, 14(3): 187-196. [8] Kafai M, Bhanu B. Dynamic bayesian networks for vehicle classification in video[J]. IEEE Transactions on Industrial Informatics, 2012, 8(1): 100-109. [9] Ma X, Grimson W E L. Edge-based rich representation for vehicle classification[C]. IEEE International Conference on Computer Vision.USA:IEEE, 2005, 2: 1185-1192. [10] Ambardekar A A. Efficient vehicle tracking and classification for an automated traffic surveillance system[D]. Nevada:University of Nevada, Reno, 2007. [11] Vigos G, Papageorgiou M, Wang Y. Real-time estimation of vehicle-count within signalized links[J]. Transportation Research Part C: Emerging Technologies, 2008, 16(1): 18-35. [12] Jung Y K, Ho Y S. Traffic parameter extraction using video-based vehicle tracking[C]. International Conference on Intelligent Transportation Systems.USA: IEEE, 1999. 764-769. [13] Chang J, Wang L, Meng G, et al. Vision-based occlusion handling and vehicle classification for traffic surveillance systems[J]. IEEE Intelligent Transportation Systems Magazine, 2018, 10(2): 80-92.