Obstacle detection using projective invariant and vanishing lines

Proceedings of the IEEE International Conference on Computer Vision

Volumn 1, Issue , 2003, Pages 330-337

  Okada, Ryuzo ^a   Tanigucchi, Yasuhiro ^a   Furukawa, Kenji ^a   Onoguchi, Kazunori ^a  

^a TOSHIBA CORPORATION   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; CAMERAS; COLLISION AVOIDANCE; CONSTRAINT THEORY; IMAGE SENSORS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; MOTION ESTIMATION;

MOTION CONSTRAINT; OBSTACLE DETECTION; PROJECTIVE INVARIANT; VANISHING LINES;

OBJECT RECOGNITION;

EID: 0344551895     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iccv.2003.1238363     Document Type: Conference Paper

References (21)

1. M. Bertozzi and A. Broggi. Gold: A parallel real-time stereo vision system for generic obstacle and lane detection. IEEE Trans. Image Processing, 7(1):62-81, January 1998.
2. S. Carlsson and J.-O. Eklundh. Object detection using model-based prediction and motion parallax. Proc. of ECCV, pages 297-306, 1990.
3. W. Enkelmann. Obstacle detection by evaluation of optical flow fields from image sequences. Proc. of ECCV, pages 134-138, 1990.
4. A. W. Fitzgibbon and A. Zisserman. Multibody structure and motion: 3-d reconstruction of independently moving objects. Proc. of ECCV 2000, 1:891-906, 2000.
5. P. Fornland. Direct obstacle detection and motion from spatio-temporal derivatives. Proc. of Int. Conf. on Computer Analysis of Images and Patterns, pages 874-879, 1995.
6. K. Fukui. Edge extraction method based on separablity of image features. IEICE Trans. Inf. & Syst., E-78-D(12):1533-1538, 1995.
7. K. Hanawa and Y. Sogawa. Development of stereo image recognition system for ADA. Proc. IEEE Intelligent Vehicle Symposium, pages 177-182, 2001.
8. R. I. Hartley. In defense of eight-point algorithm. IEEE Trans. on PAMI, 19(6):580-593, 1997.
9. H. Hattori and A. Maki. Stereo without depth search and metric calibration. Proc. CVPR, 1:177-184, 2000.
10. T. C. H. Heng, Y. Kuno, and Y. Shirai. Active sensor fusion for collision avoidance. Proc. of IROS, 3:1244-1249, 1997.
11. Z. Hu and K. Uchimura. Real-time multi moving objects detection and tracking from dynamical road scene using FOE. Proc. of 6th World Congress on ITS, 2000.
12. T. Kato and Y. Ninomiya. An approach to vehicle recognition using supervised learning. Proc. of Machine Vision Applications, pages 77-80, 1998.
13. T. Kitahashi and H. Endo. A new method of 3-d motion analysis using a concept of projective geometry. Proc. of IJCAI, pages 902-904, 1985.
14. M. I. A. Lourakis and S. C. Orphanoudakis. Visual detection of obstacles assuming locally planar ground. Proceedings of 3rd ACCV, 2:527-534, 1998.
15. T. Morita and T. Kanade. A sequential factorization method for motion analysis. IEEE Trans. on PAMI, 19(8):858-867, 1997.
16. N. Pears and B. Liang. Ground plane segmentation for mobile robot visual navigation. Proc. of IROS, 2001.
17. J. Sato and R. Chipolla. Obstacle detection from image divergence and deformation. Proc. of IV-96, pages 165-170, 1996.
18. D. Sinclair and A. Blake. Quantitative planar region detection. IJCV, 18(1):77-91, 1996.
19. H. Takizawa and T. Ito. Method of preceding vehicles recognition using self organization map. Technical Report of IEICE, 101(302):23-28, 2001 (In Japanese).
20. F. Ullah, S. Kaneko, and S. Igarashi. Orientation code matching for robust object search. IEICE Trans. on Inf. & Syst.,E84-D(8):999-1006, 2001.
21. Z. Zhang, R. Weiss, and A. R. Hansono. Obstacle detection based on qualitative and quantitative 3d reconstruction. IEEE Trans. on PAMI, 19(1):15-26, 1997.