1 |
Bar-Shalom Y. and Tse E.(1975), "Tracking in a cluttered environment with probabilistic data association," Automatica, vol. 11, no. 5, pp.451-460.
DOI
|
2 |
Bar-Shalom Y., Daum F. and Huang J.(2009), "The probabilistic data association filter," IEEE Control Systems, vol. 29, no. 6, pp.82-100.
DOI
|
3 |
Bolch G., Greiner S., de Meer H. and Trivedi K. S.(2006), Queueing networks and Markov chains: modeling and performance evaluation with computer science applications, John Wiley & Sons press. pp.51-80.
|
4 |
Dubrofsky E.(2009), Homography estimation, University of British Columbia(Vancouver). pp.10-12.
|
5 |
Freund Y. and Schapire R. E.(1997), "A desicion-theoretic generalization of on-line learning and an application to boosting," Journal of Computer and System Sciences, vol. 55, no. 1, pp. 119-139.
DOI
|
6 |
Hadi R. A., Sulong G. and George L. E.(2014), "Vehicle detection and tracking techniques: a concise review," Signal & Image Processing: An International Journal(SIPIJ), vol. 5, no. 1, pp.1-12.
DOI
|
7 |
Kalman R. E.(1960), "A new approach to linear filtering and prediction problems," Journal of basic Engineering, vol. 82, no. 1, pp.35-45.
DOI
|
8 |
Liggins II. M., Hall D. and Llinas J.(2017), Handbook of multisensor data fusion: theory and practice, CRC press, pp.204-210.
|
9 |
Oh J. S. Jang K. C. and Kim M. S.(2011), "Vehicle classification scheme of two-axle unit vehicle based on the laser measurement of height profiles," The Journal of Korea Intelligent Transport System, vol. 10, no. 5, pp.47-52.
|
10 |
Papageorgiou C. P., Oren M. and Poggio T.(1998), "A general framework for object detection," sixth international conference on IEEE Computer vision, pp.555-562.
|
11 |
Police Science Institute.(2012), A development of real-time vehicle detection system for traffic control using radar sensor, p.1.
|
12 |
Police Science Institute.(2012), A development of real-time vehicle detection system for traffic control using radar sensor, pp.16-18.
|
13 |
Viola P. and Jones M.(2001), "Rapid object detection using a boosted cascade of simple features," 2001 Computer Society Conference on IEEE Computer Vision and Pattern Recognition(CVPR), vol. 1, pp.511-518.
|