3-D model based vehicle recognition

2009 Workshop on Applications of Computer Vision, WACV 2009

Volumn , Issue , 2009, Pages

  Prokaj, Jan ^a   Medioni, Gérard ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

3D MODELS; A-PLANE; BAYESIAN APPROACHES; EXISTING METHOD; MODEL IMAGES; MODEL MATCHING; MODEL-BASED; MULTIPLE VIEW GEOMETRY; REAL VIDEO SEQUENCES; STRUCTURE FROM MOTION ALGORITHM; TOP-DOWN APPROACH; VEHICLE IMAGES; VEHICLE RECOGNITION; VIDEO CLIPS;

BAYESIAN NETWORKS; COMPUTER APPLICATIONS; COMPUTER VISION; IMAGE MATCHING; TECHNICAL PRESENTATIONS; VEHICLES; VIDEO RECORDING;

THREE DIMENSIONAL;

EID: 77951182056     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WACV.2009.5403032     Document Type: Conference Paper

References (20)

1. Google 3D warehouse. http://sketchup.google.com/3dwarehouse/.
2. S. Ali and M. Shah. Floor fields for tracking in high density crowd scenes. In 10th European Conference in Computer Vision, volume 5303 of LNCS, pages 1-14. Springer Berlin / Heidelberg, 2008.
3. M.-P. Dubuisson Jolly, S. Lakshmanan, and A. Jain. Vehicle segmentation and classification using deformable templates. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(3):293-308, Mar 1996.
4. J. M. Ferryman, A. D. Worrall, G. D. Sullivan, and K. D. Baker. A generic deformable model for vehicle recognition. In British conference on Machine vision, volume 1, pages 127-136. BMVA Press, 1995.
5. D. Han, M. Leotta, D. Cooper, and J. Mundy. Vehicle class recognition from video-based on 3d curve probes. In 2nd Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, pages 285-292, Oct. 2005.
6. R. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, 2nd edition, 2003.
7. M. Irani, P. Anandan, and M. Cohen. Direct recovery of planar-parallax from multiple frames. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(11):1528-1534, Nov 2002.
8. H. Kuhn. The hungarian method for the assignment problem. Naval Research Logistics Quarterly, 2(1-2):83-97, March 1955.
9. A. Lai, G. Fung, and N. Yung. Vehicle type classification from visual-based dimension estimation. In IEEE Intelligent Transportation Systems, pages 201-206, 2001.
10. V. Lepetit, F. Moreno-Noguer, and P. Fua. Epnp: An accurate o(n) solution to the pnp problem. International Journal of Computer Vision, 81(2):155-166, 2009.
11. J. Li and R. Chellappa. A factorization method for structure from planar motion. In IEEE Workshop on Motion and Video Computing, ACV/MOTIONS '05, volume 2, pages 154-159, Jan. 2005.
12. M. Lourakis. levmar: Levenberg-marquardt nonlinear least squares algorithms in C/C++. http://www.ics.forth.gr/lourakis/levmar/, 2009.
13. D. G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91-110, 2004.
14. P. Negri, X. Clady, M. Milgram, and R. Poulenard. An oriented-contour point based voting algorithm for vehicle type classification. In 18th International Conference on Pattern Recognition, volume 1, pages 574-577, 2006.
15. V. Petrovic and T. F. Cootes. Analysis of features for rigid structure vehicle type recognition. In British Machine Vision Conference, pages 587-596, 2004.
16. M. Pollefeys, L. Van Gool, M. Vergauwen, F. Verbiest, K. Cornelis, J. Tops, and R. Koch. Visual modeling with a hand-held camera. International Journal of Computer Vision, 59(3):207-232, 2004.
17. C. Rother and S. Carlsson. Linear multi view reconstruction and camera recovery. In IEEE International Conference on Computer Vision, volume 1, pages 42-50 vol.1, 2001.
18. B. Triggs, P. McLauchlan, R. Hartley, and A. Fitzgibbon. Vision Algorithms: Theory and Practice, volume 1883 of LNCS, chapter Bundle Adjustment A Modern Synthesis, pages 153-177. Springer Berlin / Heidelberg, 2000.
19. A. D. Worrall, G. D. Sullivan, and K. D. Baker. A simple, intuitive camera calibration tool for natural images. In Conference on British machine vision, volume 2, pages 781-790. BMVA Press, 1994.
20. Q. Yu and G. Medioni. Motion pattern interpretation and detection for tracking moving vehicles in airborne videos. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 2671-2678, 2009.