High-performance on-road vehicle detection in monocular images

This paper addresses the problem of monocular vehicle detection for forward collision warning. We present a system that is able to process large images with high speed and delivers high detection rates at only one false alarm every 100 frames.

[1]  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).

[2]  Raimar Wagner,et al.  Improving detector performance by learning from compressed samples , 2012, 2012 IEEE Second International Conference on Consumer Electronics - Berlin (ICCE-Berlin).

[3]  Yair Weiss,et al.  Learning object detection from a small number of examples: the importance of good features , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[4]  Fridtjof Stein.  The challenge of putting vision algorithms into a car , 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

[5]  L. Davis,et al.  Real-time multiple vehicle detection and tracking from a moving vehicle , 2000, Machine Vision and Applications.

[6]  Zhuowen Tu,et al.  Probabilistic boosting-tree: learning discriminative models for classification, recognition, and clustering , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[7]  Luc Van Gool,et al.  Branch&Rank: Non-Linear Object Detection , 2011, BMVC.

[8]  Klaus C. J. Dietmayer,et al.  Feature selection for automotive object detection tasks - A study , 2012, 2012 IEEE Second International Conference on Consumer Electronics - Berlin (ICCE-Berlin).

[9]  Werner von Seelen,et al.  Intensity and Edge-Based Symmetry Detection Applied to Car-Following , 1992, ECCV.

[10]  D.M. Gavrila,et al.  Monocular pedestrian recognition using motion parallax , 2008, 2008 IEEE Intelligent Vehicles Symposium.

[11]  R. Schweiger.  Echtzeitfähiges Fusionssystem zur Fußgängererkennung bei Nacht , 2012 .

[12]  Dariu Gavrila,et al.  Monocular Pedestrian Detection: Survey and Experiments , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[13]  Paul A. Viola,et al.  Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.

[14]  Zehang Sun,et al.  On-road vehicle detection: a review , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[15]  Tomaso A. Poggio,et al.  Pedestrian detection using wavelet templates , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[16]  Bastian Leibe,et al.  Efficient Use of Geometric Constraints for Sliding-Window Object Detection in Video , 2011, ICVS.

[17]  Günther Palm,et al.  Surround view pedestrian detection using heterogeneous classifier cascades , 2011, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[18]  Jiri Matas,et al.  A system for real-time detection and tracking of vehicles from a single car-mounted camera , 2012, 2012 15th International IEEE Conference on Intelligent Transportation Systems.

[19]  Mei-Chen Yeh,et al.  Fast Human Detection Using a Cascade of Histograms of Oriented Gradients , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[20]  Markus Enzweiler,et al.  Efficient Stixel-based object recognition , 2012, 2012 IEEE Intelligent Vehicles Symposium.

[21]  Yoram Singer,et al.  Improved Boosting Algorithms Using Confidence-rated Predictions , 1998, COLT' 98.

[22]  Paul A. Viola,et al.  Robust Real-time Object Detection , 2001 .

[23]  Ichiro Masaki,et al.  Efficient integral image computation on the GPU , 2010, 2010 IEEE Intelligent Vehicles Symposium.

[24]  Fatih Murat Porikli,et al.  Integral histogram: a fast way to extract histograms in Cartesian spaces , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[25]  U. Franks,et al.  Lane Recognition on Country Roads , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[26]  P. C. Antonello,et al.  Multi-resolution vehicle detection using artificial vision , 2004, IEEE Intelligent Vehicles Symposium, 2004.

[27]  Markus Gressmann,et al.  Progressive Pedestrian Localization Using Neural Networks , 2013 .

[28]  Jonathan Warrell,et al.  Proposal generation for object detection using cascaded ranking SVMs , 2011, CVPR 2011.

[29]  Jordi Gonzàlez,et al.  A coarse-to-fine approach for fast deformable object detection , 2011, CVPR 2011.

[30]  Donald Geman,et al.  Coarse-to-Fine Face Detection , 2004, International Journal of Computer Vision.

[31]  David A. McAllester,et al.  Cascade object detection with deformable part models , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[32]  Rita Cucchiara,et al.  Multi-stage Sampling with Boosting Cascades for Pedestrian Detection in Images and Videos , 2010, ECCV.

[33]  Zehang Sun,et al.  A real-time precrash vehicle detection system , 2002, Sixth IEEE Workshop on Applications of Computer Vision, 2002. (WACV 2002). Proceedings..

[34]  Dieter Willersinn,et al.  Evaluating sensor effects on perception performance , 2010, 2010 IEEE Intelligent Vehicles Symposium.

[35]  Thomas Kalinke,et al.  An image processing system for driver assistance , 2000, Image Vis. Comput..

[36]  Chu-Song Chen,et al.  A Cascade of Feed-Forward Classifiers for Fast Pedestrian Detection , 2007, ACCV.

[37]  Wolfgang Schulz,et al.  Pedestrian Recognition from a Moving Catadioptric Camera , 2007, DAGM-Symposium.

[38]  Gunther Palm,et al.  Pedestrian Localization , 2011, 2011 IEEE 9th International Symposium on Intelligent Systems and Informatics.

[39]  Luc Van Gool,et al.  Local Context Priors for Object Proposal Generation , 2012, ACCV.

[40]  Jianwei Zhang,et al.  Real-time vehicle detection based on Haar features and Pairwise Geometrical Histograms , 2011, 2011 IEEE International Conference on Information and Automation.

[41]  Christoph H. Lampert,et al.  Beyond sliding windows: Object localization by efficient subwindow search , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[42]  Christoph H. Lampert.  An efficient divide-and-conquer cascade for nonlinear object detection , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[43]  Christian Wöhler,et al.  PII: S0262-8856(98)00108-5 , 1999 .

[44]  Andreas Geiger,et al.  Are we ready for autonomous driving? The KITTI vision benchmark suite , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[45]  Luc Van Gool,et al.  Pedestrian detection at 100 frames per second , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[46]  W. Kruger,et al.  Real-time estimation and tracking of optical flow vectors for obstacle detection , 1995, Proceedings of the Intelligent Vehicles '95. Symposium.

[47]  A. Broggi,et al.  Real Time Road Signs Recognition , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[48]  Massimo Bertozzi,et al.  A real-time oriented system for vehicle detection , 1997, J. Syst. Archit..

[49]  Michael Gabb,et al.  Efficient monocular vehicle orientation estimation using a tree-based classifier , 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).

[50]  Pietro Perona,et al.  The Fastest Pedestrian Detector in the West , 2010, BMVC.