Real-time vehicle detection using parts at intersections

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn , Issue , 2012, Pages 1519-1524

  Sivaraman, Sayanan ^a   Trivedi, Mohan M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Active Safety; Driver Assistance; Machine Learning; Real time Vision

Indexed keywords

ACTIVE LEARNING; ACTIVE SAFETY; APPEARANCE BASED; CROSS-TRAFFIC; DRIVER ASSISTANCE; FIELD OF VIEWS; IMAGE FEATURES; LEARNING PROCESS; MATCHING CLASSIFICATION; PARTIAL OCCLUSIONS; REAL TIME; REAL TIME VISION; REAL WORLD DATA; REAL-TIME DETECTION; SUPPORT VECTOR MACHINE CLASSIFICATION; USER INPUT; VEHICLE CONFIGURATION; VEHICLE DETECTION; VISION-BASED VEHICLE DETECTION;

AUTOMOBILE DRIVERS; INTELLIGENT SYSTEMS;

LEARNING SYSTEMS;

EID: 84871185451     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2012.6338886     Document Type: Conference Paper

References (26)

1. D. of Transportation National Highway Traffic Safety Administration, "Traffic safety facts," 2011. [Online]. Available: http://wwwnrd.nhtsa.dot.gov
2. M. M. Trivedi and S. Y. Cheng, "Holistic sensing and active displays for intelligent driver support systems," IEEE Computer, 2007.
3. T. Gandhi and M. M. Trivedi, "Parametric ego-motion estimation for vehicle surround analysis using an omnidirectional camera," Machine Vision and Applications, vol. 16, no. 2, pp. 85-95, feb 2005.
4. S. Cheng and M. Trivedi, "Turn-intent analysis using body pose for intelligent driver assistance," Pervasive Computing, IEEE, vol. 5, no. 4, pp. 28 -37, oct.-dec. 2006.
5. S. Sivaraman and M. M. Trivedi, "A general active learning framework for on-road vehicle recognition and tracking," IEEE Trans. Intell Transp. Syst., 2010.
6. C. Cortes and V. Vapnik, "Support vector networks," Machine Learning, 1995.
7. A. Jazayeri, H. Cai, J. Y. Zheng, and M. Tuceryan, "Vehicle detection and tracking in car video based on motion model," Intelligent Transportation Systems, IEEE Transactions on, 2011.
8. Z. Sun, G. Bebis, and R. Miller, "On-road vehicle detection: a review," Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2006.
9. S. Sivaraman and M. M. Trivedi, "Active learning for on-road vehicle detection: A comparative study," Machine Vision and Applications, 2011.
10. B. Wu and R. Nevatia, "Detection and segmentation of multiple, partially occluded objects by grouping, merging, assigning part detection responses," International Journal of Computer Vision, 2009.
11. C. Huang and R. Nevatia, "High performance object detection by collaborative learning of joint ranking of granules features," in Computer Vision and Pattern Recognition, 2010.
12. Z. Lin, G. Hua, and L. Davis, "Multiple instance feature for robust partbased object detection," in Computer Vision and Pattern Recognition, 2009.
13. D. Tosato, M. Farenzena, M. Cristani, and V. Murino, "Part-based human detection on riemannian manifolds," in International Conference on Image Processing, 2010.
14. D. Tosato, M. Farenzena, M. Cistani, and V. Murino, "A re-evaluation of pedestrian detection on riemannian manifolds," in International Conference on Pattern Recognition, 2010.
15. P. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan, "Object detection with discriminatively trained part based models," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 9, September 2010.
16. H. Niknejad, S. Mita, D. McAllester, and T. Naito, "Vision-based vehicle detection for nighttime with discriminately trained mixture of weighted deformable part models," in Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on, 2011.
17. H. Tehrani Niknejad, A. Takeuchi, S. Mita, and D. McAllester, "Onroad multivehicle tracking using deformable object model and particle filter with improved likelihood estimation," Intelligent Transportation Systems, IEEE Transactions on, 2012.
18. W.-C. Chang and C.-W. Cho, "Real-time side vehicle tracking using parts-based boosting," in Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on, 2008.
19. B.-F. Lin, Y.-M. Chan, L.-C. Fu, P.-Y. Hsiao, L.-A. Chuang, S.-S. Huang, and M.-F. Lo, "Integrating appearance and edge features for sedan vehicle detection in the blind-spot area," Intelligent Transportation Systems, IEEE Transactions on, 2012.
20. P. Viola and M. Jones, "Rapid object detection using a boosted cascade of simple features," IEEE Computer Vision and Pattern Recognition Conference., 2001.
21. N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," in Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, 2005.
22. C.-C. Chang and C.-J. Lin, "LIBSVM: A library for support vector machines," ACM Transactions on Intelligent Systems and Technology, vol. 2, pp. 27:1-27:27, 2011, software available at http://www.csie.ntu.edu.tw/ cjlin/libsvm.
23. S. Sivaraman and M. M. Trivedi, "Combining monocular and stereovision for real-time vehicle ranging and tracking on multilane highways," IEEE Intell. Transp. Syst. Conf., 2011.
24. H.-T. Lin, C.-J. Lin, and R. C. Weng, "A note on platts probabilistic outputs for support vector machines," Machine Learning, 2007.
25. S. Shivappa, M. M. Trivedi, and B. D. Rao, "Audio-visual information fusion in human computer interfaces and intelligent environments: A survey," Proceedings of the IEEE, 2010.
26. S. Sivaraman, B. T. Morris, and M. M. Trivedi, "Learning multi-lane trajectories using vehicle-based vision," International Conference on Computer Vision, Workshop on Computer Vision for Vehicle Technology, 2011.