Learning multi-lane trajectories using vehicle-based vision

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2011, Pages 2070-2076

  Sivaraman, Sayanan ^a   Morris, Brendan ^a   Trivedi, Mohan ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA-DRIVEN; DRIVING SITUATIONS; FREE FLOWING; FUTURE RESEARCH DIRECTIONS; KALMAN-FILTERING; LEARNING FRAMEWORKS; MOTOR VEHICLE; MULTI-LANE HIGHWAY; SAFE OPERATION; TRAFFIC CONDITIONS; TRAFFIC SITUATIONS; VISION SENSORS; VISION-BASED SYSTEM;

IMAGE PROCESSING; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; TRAJECTORIES; VEHICLES;

STEREO VISION;

EID: 84856655852     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2011.6130503     Document Type: Conference Paper

References (24)

1. H. Badino, R. Mester, J. Wolfgang, and U. Franke. Free space computation using stochastic occupancy grids and dynamic programming. ICCV Workshop on Dynamical Vision, 2007.
2. B. Barrois, S. Hristova, C. Wohler, F. Kummert, and C. Hermes. 3d pose estimation of vehicles using a stereo camera. IEEE Intell. Veh. Symp., 2009.
3. A. Barth and U. Franke. Tracking oncoming and turning vehicles at intersections. IEEE Intell. Transp. Syst. Conf., 2010.
4. N. Brandle, D. Bauer, and S. Seer. Track-based finding of stopping pedestrians-a practical approach for analyzing a public infrastructure. In Proc. IEEE Conf. Intell. Transport. Syst., pages 115-120, Toronto, Canada, Sept. 2006.
5. S. Y. Cheng and M. M. Trivedi. Turn-intent analysis using body pose for intelligent driver assistance. IEEE Pervasive Computing, 5(4):28-37, Oct-Dec 2006.
6. A. P. Dempster, N. M. Laird, and D. B. Rubin. Maximum likelihood from incomplete data via the EM algorithm. J. Royal Stat. Soc., 39:1-38, 1977.
7. A. Doshi, B. Morris, and M. M. Trivedi. On-road prediction of driver's intent with multimodal sensory cues. IEEE Pervasive Computing, Special Issue on Automotive Pervasive Computing, 2011.
8. A. Doshi and M. M. Trivedi. On the roles of eye gaze and head pose in predicting driver's intent to change lanes. IEEE Trans. Intell Transp. Syst., 10(3):453-462, Sept. 2009.
9. D. Makris and T. Ellis. Learning semantic scene models from observing activity in visual surveillance. IEEE Trans. Syst., Man., Cybernetics. Part B, 35(3):397-408, June 2005.
10. J. C. McCall and M. M. Trivedi. Driver behavior and situation aware brake assistance for intelligent vehicles. Proceedings of the IEEE, 95(2):374-387, Feb. 2007.
11. J. C. McCall, D. Wipf, M. M. Trivedi, and B. Rao. Lane change intent analysis using robust operators and sparse bayesian learning. IEEE Trans. Intell. Transp. Syst., 8(3):431-440, Sept. 2007.
12. B. Morris and M. Trivedi. Learning and classification of trajectories in dynamic scenes: A general framework for live video analysis. In IEEE Int'l Conf. on Advanced Video and Signal based Surveillance, pages 154-161, Santa Fe, New Mexico, Sept. 2008.
13. B. Morris and M. M. Trivedi. Unsupervised learning of motion patterns of rear surrounding vehicles. IEEE Int'l Conf. on Veh. Electronics and Safety, 2009.
14. B. Morris and M. M. Trivedi. Trajectory learning for activity understanding: Unsupervised, multilevel, and long-term adaptive approach. IEEE Trans. on Patt. Anal. and Mach. Intell., 2011.
15. B. T. Morris and M. M. Trivedi. A survey of vision-based trajectory learning and analysis for surveillance. IEEE Trans. s on Circuits and Systems for Video Technology, 18(8):1114-1127, Aug. 2008. Special Issue on Video Surveillance.
16. A. Y. Ng, M. I. Jordan, and Y. Weiss. On spectral clustering: Analysis and an algorithm. In Advances in Neural Information Processing Systems, volume 14, pages 849-856, sep 2002.
17. N. H. T. S. A. [NHTSA]. Traffic safety facts 2006. 2006.
18. C. Pantilie and S. Nedevschi. Real-time obstacle detection in complex scenarios using dense stereo vision and optical flow. IEEE Intell. Transp. Syst. Conf., 2010.
19. L. R. Rabiner. A tutorial on hidden markov models and selected applications in speech recognition. Proceedings of the IEEE, 77(2):257-286, Feb. 1989.
20. S. Sivaraman and M. M. Trivedi. A general active learning framework for on-road vehicle recognition and tracking. IEEE Trans. Intell Transp. Syst., 2010.
21. S. Sivaraman and M. M. Trivedi. Combining monocular and stereo-vision for real-time vehicle ranging and tracking on multilane highways. IEEE Intell. Transp. Syst. Conf., 2011.
22. M. M. Trivedi and S. Y. Cheng. Holistic sensing and active displays for intelligent driver support systems. IEEE Computer, 2007.
23. P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. IEEE Computer Vision and Pattern Recognition Conference., 1(1):511-518, 2001.
24. M. Vlachos, G. Kollios, and D. Gunopulos. Discovering similar multidimensional trajectories. In Proc. IEEE Conf. on Data Engineering, pages 673-684, Feb. 2002.