참고문헌
- A. Soto, 'A probabilistic approach for the adaptive integration of multiple visual cues using an agent framework,' Doctoral dissertation, Tech. Report CMU - RI - TR - 02 - 30, Oct. 2002
- D. G. Lowe, 'Distinctive image features from scale-invariant keypoints,' Int. J. Comput. Vision, vol. 60, no. 2, pp. 91 - 110, Nov. 2004 https://doi.org/10.1023/B:VISI.0000029664.99615.94
- D. Comaniciu, V. Ramesh, P. Meer, 'Kernel-Based Object Tracking,' IEEE T. Pattern Anal., vol. 25, issue 5, pp. 564 - 577, May 2003 https://doi.org/10.1109/TPAMI.2003.1195991
- C. Yang, R. Duraiswami, and L. Davis, 'Fast Multiple Object Tracking via a Hierarchical Particle Filter,' in Proc. 10th IEEE Int. Conf, Computer Vision, vol. 1, pp. 212 - 219, Oct. 2005 https://doi.org/10.1109/ICCV.2005.95
- K. Deguchi, O. Kawanaka, and T. Okatani, 'Object tracking by the mean-shift of regional color distribution combined with the particle-filter algorithm,' in Proc. 17th Int. Conf. Pattern Recognition, vol. 3, pp, 506 - 509, Aug. 2004 https://doi.org/10.1109/ICPR.2004.1334577
- T. Xiong and C. Debrunner, 'Stochastic car tracking with line- and color-based features,' IEEE T. Intell. Transp., vol. 5, no. 4, pp. 324 - 328, 2004 https://doi.org/10.1109/TITS.2004.838192
- F. Amell and L. Petersson, 'Generic Fusion of Visual Cues Applied to Real-World Object Segmentation,' in Proc. 2005 IEEE/RSJ Int. Conf. Intelligent Robots and Systems, pp, 2954 - 2959, 2005 https://doi.org/10.1109/IROS.2005.1545425
- J. Triesch, C.V.D. Malsburg, 'Self-Organized Integration of Adaptive Visual Cues for Face Tracking,' in Proc. 4th IEEE Int. Conf. on Automatic Face and Gesture Recognition, pp, 102 -107, 2000 https://doi.org/10.1109/AFGR.2000.840619
- S. H. Kim and I. S. Kwon, 'Scalable Representation and Learning for 3D Object Recognition using Shared Feature-based View Clustering,' in Proc. Asian Conf, on Computer Vision 2003, pp. 561 - 570, Jan. 2006
- B. H. Han, Y. Zhu, D. Comaniciu, and L. Davis, 'Kernel-based Bayesian filtering for object tracking,' in Proc. IEEE Computer Society Conf Computer Vision and Pattern Recognition 2005, vol. 1, pp. 227 - 234, June 2005 https://doi.org/10.1109/CVPR.2005.199
- 'Probabilistic algorithms in robotics,' AI Magazine vol. 22, no. 1, pp. 93 -109, 2000
- D. Fox, 'KLD-Sampling: Adaptive particle filter,' Advances in Neural Information Processing Systems, vol. 14, 2001
- V.K. Mansinghka, 'Towards Visual SLAM in Dynamic Environments,' MIT 16.412J Final ?Project Writeup, 2004
- Y. Ke, R. Sukthankar, 'PCA-SIFT: A More Distinctive Representation for Local Image Descriptor,' in Proc. Computer Vision and Pattern Recognition, vol. 1, pp, 511 - 517, 2004 https://doi.org/10.1109/CVPR.2004.1315206
- D. G. Lowe, 'Local Feature View Clustering for 3D Object Recognition,' in Proc. 2001 IEEE Computer Society Conf Computer Vision and Pattern Recognition, vol. 1, pp, 1-682 - 1-688, 2001 https://doi.org/10.1109/CVPR.2001.990541
- R. Bishop, Intelligent Vehicle Technology and Trends. Artech House, 2005, pp. 25 - 37
- S. Y. Kim, S. Y. Oh, et al. 'Front and rear vehicle detection and tracking in the day and night times using vision and sonar sensor fusion,' in Proc. 2005 IEEE/RSJ International Conf. Intelligent Robots and Systems, pp, 2173 - 2178, 2005 https://doi.org/10.1109/IROS.2005.1545321