Moving Obstacle Detection from Moving Platforms

[1]  L. Matthies,et al.  Precise Image-Based Motion Estimation for Autonomous Small Body Exploration , 2000 .

[2]  Chieh-Chih Wang,et al.  LADAR-based detection and tracking of moving objects from a ground vehicle at high speeds , 2003, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683).

[3]  David G. Lowe,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.

[4]  Stefano Soatto,et al.  Optimal Structure from Motion: Local Ambiguities and Global Estimates , 2004, International Journal of Computer Vision.

[5]  Larry S. Davis,et al.  A Perturbation Method for Evaluating Background Subtraction Algorithms , 2003 .

[6]  Larry S. Davis,et al.  Background modeling and subtraction by codebook construction , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[7]  B. S. Manjunath,et al.  An axiomatic approach to corner detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[8]  R. Vidal,et al.  The multibody trifocal tensor: motion segmentation from 3 perspective views , 2004, CVPR 2004.

[9]  Stefano Soatto,et al.  Real-time feature tracking and outlier rejection with changes in illumination , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[10]  Avinash C. Kak,et al.  A Local Approach for Robust Optical Flow Estimation under Varying Illumination , 2004, BMVC.

[11]  C. Thorpe,et al.  Development of the side component of the transit integrated collision warning system , 2004, Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749).

[12]  Carlo Tomasi,et al.  Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[13]  C Tomasi,et al.  Shape and motion from image streams: a factorization method. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[14]  J. Weickert,et al.  Lucas/Kanade meets Horn/Schunck: combining local and global optic flow methods , 2005 .