Stixels estimation without depth map computation

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2011, Pages 2010-2017

  Benenson, Rodrigo ^a   Timofte, Radu ^a   Van Gool, Luc ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION COSTS; DEPTH INFORMATION; DEPTH MAP; DETECTION WINDOWS; INTERMEDIATE DEPTHS; OBJECT DETECTION; STEREO-IMAGE; WORLD MODEL;

STEREO VISION;

IMAGE PROCESSING;

EID: 84856639675     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2011.6130495     Document Type: Conference Paper

References (20)

1. H. Badino, U. Franke, and R. Mester. Free space computation using stochastic occupancy grids and dynamic programming. In ICCV, Workshop on Dynamical Vision, 2007.
2. H. Badino, U. Franke, and D. Pfeiffer. The stixel world-a compact medium level representation of the 3d-world. In DAGM, 2009.
3. M. Bajracharya, B. Moghaddam, A. Howard, S. Brennan, and L. H. Matthies. A fast stereo-based system for detecting and tracking pedestrians from a moving vehicle. IJRR, 28:1466-1485, 2009.
4. N. Cornelis, B. Leibe, K. Cornelis, and L. Van Gool. 3d city modeling using cognitive loops. In Video Proceedings for CVPR, June 2006.
5. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, CA, USA, 2005.
6. A. Ess, B. Leibe, K. Schindler, and L. Van Gool. A mobile vision system for robust multi-person tracking. In CVPR. IEEE Press, June 2008.
7. U. Franke and A. Joos. Real-time stereo vision for urban traffic scene understanding. In IVS, 2000.
8. U. Franke and I. Kutzbach. Fast stereo based object detection for stop and go traffic. In IVS, 1996.
9. H. Hattori, A. Seki, M. Nishiyama, and T. Watanabe. Stereobased pedestrian detection using multiple patterns. In BMVC, 2009.
10. H. Hirschmuller. Accurate and efficient stereo processing by semi-global matching and mutual information. In CVPR, volume 2, pages 807-814, CA, USA, 2005.
11. Z. Hu, F. Lamosa, and K. Uchimura. A complete u-vdisparity study for stereovision based 3d driving environment analysis. In 3DIM, 2005.
12. C. Keller, D. Fernandez, and D. Gavrila. Dense stereo-based roi generation for pedestrian detection. In DAGM, 2009.
13. S. Kubota, T. Nakano, and Y. Okamoto. A global optimization algorithm for real-time on-board stereo obstacle detection systems. In IVS, Turkey, June 2007.
14. R. Labayrade, D. Aubert, and J.-P. Tarel. Real time obstacle detection on non flat road geometry through 'v-disparity' representation. In IVS, 2002.
15. S. Nedevschi, R. Danescu, D. Frentiu, T. Marita, F. Oniga, C. Pocol, R. Schmidt, and T. Graf. High accuracy stereo vision system for far distance obstacle detection. In IVS, 2004.
16. M. Okutomi and S. Noguchi. Extraction of road region using stereo images. In ICPR, volume 1, pages 853-856, 1998.
17. D. Pfeiffer and U. Franke. Efficient representation of traffic scenes by means of dynamic stixels. In IVS, 2010.
18. D. Pfeiffer, S. Moralez, A. Barth, and U. Franke. Ground truth evaluation of the stixel representation using laser scanners. In ITSC, September 2010.
19. A. Seki and M. Okutomi. Robust obstacle detection in general road environment based on road extraction and pose estimation. In IVS, 2006.
20. Q. Yang, L. Wang, and N. Ahuja. A constant-space belief propagation algorithm for stereo matching. In CVPR, 2010. 5