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Image Segmentation-based Moving Object Detection for Driver Assistance System

Article of Honda R&D Technical Review Vol.23 No.1

Summary

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Reference

(1) Agrawal, M., Konolige, K., Iocchi, L.: Real-time detection of independent motion using stereo, IEEE workshop on Motion and Video Computing (WACV/MOTIONS) (2005)
(2) Vaudrey, T., Wedel, A., Rabe, C., Klappstein, J., Klette, R.: Evaluation of moving object segmentation comparing 6d-vision and monocular motion constraints, IVCNZ08, p. 1-6 (2008)
(3) Hartley, R. I., Zisserman, A.: Multiple View Geometry in Computer Vision, Second Edition, Cambridge University Press (2004)
(4) Ogale, A. S., Fermuller, C., Aloimonos, Y.: Detecting independent 3D movement, Handbook of Geometric Computing Applications in Pattern Recognition, Computer Vision, Neural computing, and Robotics, E. Bayro-Corrochano, Springer Verlag (2005)
(5) Hartley, R. I.: In defense of the eight-point algorithm, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, No. 6, p. 580-593 (1997)
(6) Domke, J., Aloimonos, Y.: A probabilistic framework for correspondence and egomotion, ICCV Workshop on Dynamic Vision (2005)
(7) Comaniciu, D., Meer, P.: Mean shift: A robust approach toward feature space analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 5, p. 603-619 (2002)
(8) Bleyer, M., Gelautz, M., Rhemann, C.: Colour segmentation-based computation of dense optical flow with application to video object segmentation, oGAI-Journal, Vol. 24, No. 1, p. 11-15 (2005)
(9) Fischler, M. A., Bolles, R. C.: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography, Commun. ACM, Vol. 24, No. 6, p. 381-395 (1981)
(10) Baker, S., Scharstein, D., Lewis, J., Roth, S., Black, M. J., Szeliski, R.: A database and evaluation methodology for optical flow, ICCV2007 (2007)

Author (organization or company)

Morimichi NISHIGAKI(HONDA R&D EUROPE (DEUTSCHLAND) GMBH)、Yiannis ALOIMONOS(University of Maryland)

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