Moving camera background-subtraction for obstacle detection on railway tracks
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Hiroshi Murase | Daisuke Deguchi | Ichiro Ide | Ryuta Nakasone | Hiroki Mukojima | Nozomi Nagamine | Yasutomo Kawanishi | Masato Ukai | H. Murase | Daisuke Deguchi | I. Ide | Yasutomo Kawanishi | M. Ukai | Hiroki Mukojima | N. Nagamine | R. Nakasone
[1] Hiroshi Murase,et al. Subtraction-Based Forward Obstacle Detection Using Illumination Insensitive Feature for Driving-Support , 2012, ECCV Workshops.
[2] Cordelia Schmid,et al. DeepFlow: Large Displacement Optical Flow with Deep Matching , 2013, 2013 IEEE International Conference on Computer Vision.
[3] Takeo Kanade,et al. Background Subtraction for Freely Moving Cameras , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[4] Ahmed M. Elgammal,et al. Online Moving Camera Background Subtraction , 2012, ECCV.
[5] Marc Van Droogenbroeck,et al. ViBe: A Universal Background Subtraction Algorithm for Video Sequences , 2011, IEEE Transactions on Image Processing.
[6] M. Okutomi,et al. Obstacle detection using millimeter-wave radar and its visualization on image sequence , 2004, ICPR 2004.
[7] Bogdan Tomoyuki Nassu,et al. A Vision-Based Approach for Rail Extraction and its Application in a Camera Pan–Tilt Control System , 2012, IEEE Transactions on Intelligent Transportation Systems.
[8] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[9] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[10] F. Ahmed,et al. An obstacle detection system for automated trains , 2003, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683).
[11] W. Eric L. Grimson,et al. Adaptive background mixture models for real-time tracking , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[12] S. Mockel,et al. Multi-sensor obstacle detection on railway tracks , 2003, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683).
[13] David A. McAllester,et al. A discriminatively trained, multiscale, deformable part model , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Yaser Sheikh,et al. Visual monitoring of railroad grade crossing , 2004, SPIE Defense + Commercial Sensing.
[15] Yutaka Satoh,et al. Robust event detection by radial reach filter (RRF) , 2002, Object recognition supported by user interaction for service robots.
[16] Cristiano Premebida,et al. Exploiting LIDAR-based features on pedestrian detection in urban scenarios , 2009, 2009 12th International IEEE Conference on Intelligent Transportation Systems.