| Tài liệu tham khảo |
Loại |
Chi tiết |
| [2] Qiong Cao, Rujie Liu, Fei Li, Yuehong Wang. An automatic vehicle detection method based on traffic videos. IEEE 17th International Conference on Image Processing. 2010, Hong Kong |
Sách, tạp chí |
| Tiêu đề: |
IEEE 17th International Conference on ImageProcessing |
|
| [5] Alper Yilmaz, Omar Javed, and Mubarak Shah, "Object Tracking: A Survey".pp. 7-15 |
Sách, tạp chí |
| Tiêu đề: |
Object Tracking: A Survey |
|
| [6] Bin Tian et al.. Hierarchical and Networked Vehicle Surveillance in ITS: A Survey. IEEE Transactions On Intelligent Transportation Systems, 2014 |
Sách, tạp chí |
|
| [8] D. Hoiem, C. Rother, and J. Winn, “3D layoutcrf for multi-view object class recognition and segmentation,” in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 2007, pp. 1–8 |
Sách, tạp chí |
| Tiêu đề: |
“3D layoutcrf for multi-view object classrecognition and segmentation,” |
|
| [9] R. S. Feris et al., “Large-scale vehicle detection, indexing, and search in urban surveillance videos,” IEEE Trans. Multimedia, vol. 14, no. 1, pp. 28–42, Feb. 2012 |
Sách, tạp chí |
| Tiêu đề: |
et al., “Large-scale vehicle detection, indexing, and search inurban surveillance videos,” |
|
| [12] Lowe David (2004). Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 2004;60(2):91–110 |
Sách, tạp chí |
| Tiêu đề: |
International Journal of Computer Vision |
| Tác giả: |
Lowe David |
| Năm: |
2004 |
|
| [13] H. T. Niknejad, T. Kawano, Y. Oishi, and S. Mita, “Occlusion handling using discriminative model of trained part templates and conditional random field,” in Proc. IEEE Intell. Veh. Symp., 2013, pp. 750–755 |
Sách, tạp chí |
| Tiêu đề: |
Occlusion handling usingdiscriminative model of trained part templates and conditional random field |
|
| [14] L. Yang, B. Yao, W. Yongtian, and S.-C. Zhu, “Reconfigurable templates for robust vehicle detection and classification,” in Proc. IEEE Workshop Appl.Comput. Vis., 2012, pp. 321–328 |
Sách, tạp chí |
| Tiêu đề: |
Reconfigurable templates forrobust vehicle detection and classification |
|
| [15] G. Gritsch, N. Donath, B. Kohn, and M. Litzenberger, “Night-time vehicle classification with an embedded, vision system,” in Proc. Int. IEEE Conf. Intell.Transp. Syst., 2009, pp. 1–6 |
Sách, tạp chí |
| Tiêu đề: |
Night-time vehicleclassification with an embedded, vision system |
|
| [16] K. Robert, “Video-based traffic monitoring at day and night vehicle features detection tracking,” in Proc. Int. IEEE Conf. Intell. Transp. Syst., 2009, pp. 1–6 |
Sách, tạp chí |
| Tiêu đề: |
Video-based traffic monitoring at day and night vehicle featuresdetection tracking |
|
| [17] K. Robert, “Night-time traffic surveillance: A robust framework for multi- vehicle detection, classification and tracking,” in Proc. IEEE Int. Conf. Adv.Video Signal Based Surveillance, 2009, pp. 1–6 |
Sách, tạp chí |
| Tiêu đề: |
Night-time traffic surveillance: A robust framework for multi-vehicle detection, classification and tracking |
|
| [18] A. Prati, I. Mikic, M. M. Trivedi, and R. Cucchiara, “Detecting moving shadows: Algorithms and evaluation,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 7, pp. 918–923, Jul. 2003 |
Sách, tạp chí |
| Tiêu đề: |
Detecting movingshadows: Algorithms and evaluation |
|
| [19] B. T. Morris and M. M. Trivedi, “Learning, modeling, and classification of vehicle track patterns from live video,” IEEE Trans. Intell. Transp. Syst., vol. 9, no. 3, pp. 425–437, Sep. 2008 |
Sách, tạp chí |
| Tiêu đề: |
Learning, modeling, and classification ofvehicle track patterns from live video |
|
| [21] W. Zhang, Q. J. Wu, X. Yang, and X. Fang, “Multilevel framework to detect and handle vehicle occlusion,” IEEE Trans. Intell. Transp. Syst., vol. 9, no. 1, pp.161–174, Mar. 2008 |
Sách, tạp chí |
| Tiêu đề: |
Multilevel framework to detectand handle vehicle occlusion |
|
| [23] Fatih Porikli. Integral Histogram: A Fast Way to Extract Histograms in Cartesian Spaces. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2005 |
Sách, tạp chí |
| Tiêu đề: |
IEEE International Conference on Computer Vision andPattern Recognition (CVPR) |
|
| [27] Manato Hirabayashi, et al.. GPU Implementations of Object Detection using HOG Features and Deformable Models |
Sách, tạp chí |
|
| [25] P. Sudowe. GroundHOG - GPU-based Object Detection with Geometric Constraints. http://www.mmp.rwth-aachen.de/projects/groundhog, 2011 |
Link |
|
| [1] ThS. Đặng Quang Thạch, PGS.TS. Lê Hùng Lân. Hệ thống giám sát giao thông ứng dụng công nghệ xử lý ảnh |
Khác |
|
| [3] KS. Nguyễn Toàn Thắng, Nghiên cứu xây dựng hệ thống giám sát và xử lý vi phạm TTATGT bằng hình ảnh trên hệ thống giao thông đường bộ |
Khác |
|
| [4] TS. Phạm Hồng Quang, Xây dựng hệ thống giám sát giao thông thông minh ở Việt Nam |
Khác |
|