Results from a Real-time Stereo-based Pedestrian Detection System on a Moving Vehicle
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[1] Larry Matthies,et al. Stereo vision and rover navigation software for planetary exploration , 2002, Proceedings, IEEE Aerospace Conference.
[2] Klaus Dietmayer,et al. Pedestrian recognition in urban traffic using a vehicle based multilayer laserscanner , 2002, Intelligent Vehicle Symposium, 2002. IEEE.
[3] A. Shashua,et al. Pedestrian detection for driving assistance systems: single-frame classification and system level performance , 2004, IEEE Intelligent Vehicles Symposium, 2004.
[4] Paul A. Viola,et al. Detecting Pedestrians Using Patterns of Motion and Appearance , 2005, International Journal of Computer Vision.
[5] 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).
[6] Dariu Gavrila,et al. Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle , 2007, International Journal of Computer Vision.
[7] Ignacio Parra,et al. Pedestrian Detection Using SVM and Multi-Feature Combination , 2006, 2006 IEEE Intelligent Transportation Systems Conference.
[8] Bernt Schiele,et al. Towards Robust Pedestrian Detection in Crowded Image Sequences , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[9] Alain Rakotomamonjy,et al. A Pedestrian Detector Using Histograms of Oriented Gradients and a Support Vector Machine Classifier , 2007, 2007 IEEE Intelligent Transportation Systems Conference.
[10] Luc Van Gool,et al. Depth and Appearance for Mobile Scene Analysis , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[11] R. Nevatia,et al. Simultaneous Object Detection and Segmentation by Boosting Local Shape Feature based Classifier , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[12] W. Ritter,et al. Detection and Tracking of Multiple Pedestrians in Automotive Applications , 2007, 2007 IEEE Intelligent Vehicles Symposium.
[13] A. Howard,et al. Detecting Pedestrians with Stereo Vision: Safe Operation of Autonomous Ground Vehicles in Dynamic Environments , 2007 .
[14] Luc Van Gool,et al. Dynamic 3D Scene Analysis from a Moving Vehicle , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[15] S. Muller-Schneiders,et al. A Real Time Object Detection Approach Applied to Reliable Pedestrian Detection , 2007, 2007 IEEE Intelligent Vehicles Symposium.
[16] Larry S. Davis,et al. Real-Time Human Detection and Tracking from Mobile Vehicles , 2007, 2007 IEEE Intelligent Transportation Systems Conference.
[17] Greg Mori,et al. Detecting Pedestrians by Learning Shapelet Features , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[18] Fatih Murat Porikli,et al. Human Detection via Classification on Riemannian Manifolds , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[19] S. Nedevschi,et al. Pedestrian Detection and Classification Based on 2D and 3D Information For Driving Assistance Systems , 2007, 2007 IEEE International Conference on Intelligent Computer Communication and Processing.
[20] Andrew Howard,et al. Real-time stereo visual odometry for autonomous ground vehicles , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[21] Christoph Mertz,et al. LADAR-based Pedestrian Detection and Tracking , 2008 .
[22] Max Bajracharya,et al. Detecting personnel around UGVs using stereo vision , 2008, SPIE Defense + Commercial Sensing.
[23] Barry A. Bodt. A Formal Experiment to Assess Pedestrian Detection and Tracking Technology for Unmanned Ground Systems , 2008 .
[24] Luc Van Gool,et al. A mobile vision system for robust multi-person tracking , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[25] Ramakant Nevatia,et al. Segmentation and Tracking of Multiple Humans in Crowded Environments , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[26] Multi-sensor Detection and Tracking of Humans for Safe Operations with Unmanned Ground Vehicles , 2008 .