Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2017 (2017), Article ID 4145625, 16 pages
https://doi.org/10.1155/2017/4145625
Research Article

Application of Image Processing and Three-Dimensional Data Reconstruction Algorithm Based on Traffic Video in Vehicle Component Detection

1School of Information Engineering, Chang’an University, Xi’an, Shaanxi 710064, China
2China Highway Engineering Consulting Corporation, Beijing 100097, China

Correspondence should be addressed to Gang Li; nc.ude.dhc@ilgnag

Received 28 February 2017; Revised 12 August 2017; Accepted 23 October 2017; Published 15 November 2017

Academic Editor: Simone Bianco

Copyright © 2017 Gang Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. S. Ozawa, “Image processing for intelligent transport systems,” IEICE Transaction on Information and Systems, vol. 82, no. 3, pp. 629–636, 1999. View at Google Scholar · View at Scopus
  2. B. Tian, B. T. Morris, M. Tang et al., “Hierarchical and networked vehicle surveillance in ITS: a survey,” IEEE Intelligent Transportation Systems Magazine, vol. 16, no. 2, pp. 557–580, 2015. View at Publisher · View at Google Scholar · View at Scopus
  3. N. Buch, S. A. Velastin, and J. Orwell, “A review of computer vision techniques for the analysis of urban traffic,” IEEE Transactions on Intelligent Transportation Systems, vol. 12, no. 3, pp. 920–939, 2011. View at Publisher · View at Google Scholar · View at Scopus
  4. S. Sivaraman and M. M. Trivedi, “Looking at vehicles on the road: a survey of vision-based vehicle detection, tracking, and behavior analysis,” IEEE Transactions on Intelligent Transportation Systems, vol. 14, no. 4, pp. 1773–1795, 2013. View at Publisher · View at Google Scholar · View at Scopus
  5. H.-S. Song, S.-N. Lu, X. Ma, Y. Yang, X.-Q. Liu, and P. Zhang, “Vehicle behavior analysis using target motion trajectories,” IEEE Transactions on Vehicular Technology, vol. 63, no. 8, pp. 3580–3591, 2014. View at Publisher · View at Google Scholar · View at Scopus
  6. S. Wender and K. C. J. Dietmayer, “3D vehicle detection using a laser scanner and a video camera,” IET Intelligent Transport Systems, vol. 2, no. 2, pp. 105–112, 2008. View at Publisher · View at Google Scholar · View at Scopus
  7. H. Yue, J. Wu, Y. Cao, and Z. Cui, “Research on moving vehicle detection in the presence of occlusion,” in Proceedings of the 9th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES '10), pp. 514–517, Hong Kong, China, August 2010. View at Publisher · View at Google Scholar · View at Scopus
  8. T.-Y. Lee, J.-S. Oh, and J.-H. Kim, “On-road vehicle detection based on appearance features for autonomous vehicles,” in Proceedings of the 15th International Conference on Control, Automation and Systems (ICCAS '15), pp. 1720–1723, Busan, South Korea, October 2015. View at Publisher · View at Google Scholar · View at Scopus
  9. J. Kim, J. Baek, Y. Park, and E. Kim, “New vehicle detection method with aspect ratio estimation for hypothesized windows,” Sensors, vol. 15, no. 12, pp. 30927–30941, 2015. View at Publisher · View at Google Scholar · View at Scopus
  10. N. Kosaka, R. Ogura, and G. Ohashi, “Offline vehicle detection at night using center surround extremas,” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E98A, no. 8, pp. 1727–1734, 2015. View at Publisher · View at Google Scholar · View at Scopus
  11. C. R. Wang and J. J. Lien, “Automatic vehicle detection using local features—a statistical approach,” IEEE Transactions on Intelligent Transportation Systems, vol. 9, no. 1, pp. 83–96, 2008. View at Publisher · View at Google Scholar · View at Scopus
  12. Y. I. Abdel-Aziz and H. M. Karara, “Direct linear transformation into object space coordinates in close-range photogrammetry,” in Proceedings of the Symposium on Close-Range Photogrammetry, pp. 1–18, 1971.
  13. H. Li, M. Feng, and X. Wang, “Inverse perspective mapping based Urban road markings detection,” in Proceedings of the 2nd IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS '12), pp. 1178–1182, Hangzhou, China, November 2012. View at Publisher · View at Google Scholar · View at Scopus
  14. K. Dai, G. Li, and etal., “Prospects and current studies on background subtraction techniques for moving objects detection from surveillance video,” Journal of Image and Graphics, vol. 11, no. 7, pp. 919–927, 2006. View at Google Scholar
  15. W. Wang, C. Shen, J. Zhang, and S. Paisitkriangkrai, “A two-layer night-time vehicle detector,” in Proceedings of the Digital Image Computing: Techniques and Applications (DICTA '09), pp. 162–167, Melbourne, Australia, December 2009. View at Publisher · View at Google Scholar · View at Scopus
  16. G. D. Finlayson and E. Trezzi, “Shades of gray and colour constancy,” in Proceedings of the Twelfth Color Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications (CIC '04), pp. 37–41, Scottsdale, Ariz, USA, November 2004.
  17. A. Neubeck and L. Van Gool, “Efficient non-maximum suppression,” in Proceedings of the 18th International Conference on Pattern Recognition (ICPR '06), pp. 850–855, Hong Kong, China, August 2006. View at Publisher · View at Google Scholar · View at Scopus
  18. W. Li, D. Liang, X. Wang et al., “Segmentation method for car emblem based on texture homogeneity measure,” Application Research of Computers, vol. 21, no. 10, pp. 141-142, 2004. View at Google Scholar
  19. X. Li, S. Zhu et al., “A survey of the markov random field method for image segmentation,” Journal of Image and Graphics, pp. 789–798, 2007. View at Google Scholar
  20. C. Jiannong and W. Zhanhong, “Review and comparison of MRF and DMN methods in image segmentation,” Computer Engineering and Applications, vol. 42, no. 20, pp. 19–24, 2006. View at Google Scholar
  21. R. E. Kalman, “A new approach to linear filtering and prediction problems,” Journal of Basic Engineering, vol. 82, no. 1, pp. 35–45, 1960. View at Publisher · View at Google Scholar
  22. B. Tian, Y. Li, B. Li, and D. Wen, “Rear-view vehicle detection and tracking by combining multiple parts for complex Urban surveillance,” IEEE Transactions on Intelligent Transportation Systems, vol. 15, no. 2, pp. 597–606, 2014. View at Publisher · View at Google Scholar · View at Scopus
  23. H. Hong and D. Schonfeld, “Maximum-entropy expectation-maximization algorithm for image reconstruction and sensor field estimation,” IEEE Transactions on Image Processing, vol. 17, no. 6, pp. 897–907, 2008. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  24. J. Pearl, Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, Morgan Kaufmann Publishers Inc, San Francisco, Claif, USA, 1988. View at MathSciNet