Integrating 3D structure into traffic scene understanding with RGB-D data

[1]  Xuelong Li,et al.  Fusion of Multichannel Local and Global Structural Cues for Photo Aesthetics Evaluation , 2014, IEEE Transactions on Image Processing.

[2]  Zhang Junping,et al.  Data Driven Intelligent Transportation Systems , 2014 .

[3]  Yi Yang,et al.  Discovering Discriminative Graphlets for Aerial Image Categories Recognition , 2013, IEEE Transactions on Image Processing.

[4]  Lulu Zhang,et al.  A multi-filter based license plate localization and recognition framework , 2013, 2013 Ninth International Conference on Natural Computation (ICNC).

[5]  Silvio Savarese,et al.  Accurate Localization of 3D Objects from RGB-D Data Using Segmentation Hypotheses , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[6]  Xiao Liu,et al.  Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[7]  Katsushi Ikeuchi,et al.  Beyond Point Clouds: Scene Understanding by Reasoning Geometry and Physics , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[8]  Yingjie Xia,et al.  Parallelized Fusion on Multisensor Transportation Data: A Case Study in CyberITS , 2013, Int. J. Intell. Syst..

[9]  Xiao Liu,et al.  Probabilistic Graphlet Transfer for Photo Cropping , 2013, IEEE Transactions on Image Processing.

[10]  Leonidas J. Guibas,et al.  Acquiring 3D indoor environments with variability and repetition , 2012, ACM Trans. Graph..

[11]  Kun Zhou,et al.  An interactive approach to semantic modeling of indoor scenes with an RGBD camera , 2012, ACM Trans. Graph..

[12]  Yue Gao,et al.  3-D Object Retrieval and Recognition With Hypergraph Analysis , 2012, IEEE Transactions on Image Processing.

[13]  Yue Gao,et al.  Camera Constraint-Free View-Based 3-D Object Retrieval , 2012, IEEE Transactions on Image Processing.

[14]  Thorsten Joachims,et al.  Semantic Labeling of 3D Point Clouds for Indoor Scenes , 2011, NIPS.

[15]  Kai Oliver Arras,et al.  People detection in RGB-D data , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[16]  Dieter Fox,et al.  Depth kernel descriptors for object recognition , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[17]  Li He,et al.  Predicting Pedestrian Counts in Crowded Scenes With Rich and High-Dimensional Features , 2011, IEEE Transactions on Intelligent Transportation Systems.

[18]  Fei-Yue Wang,et al.  Data-Driven Intelligent Transportation Systems: A Survey , 2011, IEEE Transactions on Intelligent Transportation Systems.

[19]  Nathan Silberman,et al.  Indoor scene segmentation using a structured light sensor , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

[20]  Justin Clark,et al.  Object Digitization for Everyone , 2011, Computer.

[21]  Liang Wang,et al.  Semi-supervised Elastic net for pedestrian counting , 2011, Pattern Recognit..

[22]  Mohan M. Trivedi,et al.  A General Active-Learning Framework for On-Road Vehicle Recognition and Tracking , 2010, IEEE Transactions on Intelligent Transportation Systems.

[23]  Yu-Chee Tseng,et al.  A vehicular surveillance and sensing system for car security and tracking applications , 2010, IPSN '10.

[24]  Alireza Ahmadyfard,et al.  An edge-based color-aided method for license plate detection , 2009, Image Vis. Comput..

[25]  Yupin Luo,et al.  Real-Time Pedestrian Detection and Tracking at Nighttime for Driver-Assistance Systems , 2009, IEEE Transactions on Intelligent Transportation Systems.

[26]  Jordi Vitrià,et al.  Traffic Sign Recognition Using Evolutionary Adaboost Detection and Forest-ECOC Classification , 2009, IEEE Transactions on Intelligent Transportation Systems.

[27]  Yili Liu,et al.  Using Image-Based Metrics to Model Pedestrian Detection Performance With Night-Vision Systems , 2009, IEEE Transactions on Intelligent Transportation Systems.

[28]  Sei-Wang Chen,et al.  Critical Motion Detection of Nearby Moving Vehicles in a Vision-Based Driver-Assistance System , 2009, IEEE Transactions on Intelligent Transportation Systems.

[29]  Richard Szeliski,et al.  Interactive 3D architectural modeling from unordered photo collections , 2008, SIGGRAPH Asia '08.

[30]  Mohan M. Trivedi,et al.  Learning, Modeling, and Classification of Vehicle Track Patterns from Live Video , 2008, IEEE Transactions on Intelligent Transportation Systems.

[31]  Ioannis Anagnostopoulos,et al.  License Plate Recognition From Still Images and Video Sequences: A Survey , 2008, IEEE Transactions on Intelligent Transportation Systems.

[32]  Dariu Gavrila,et al.  Pedestrian Detection and Tracking Using a Mixture of View-Based Shape–Texture Models , 2008, IEEE Transactions on Intelligent Transportation Systems.

[33]  Yi-Chang Chiu,et al.  Online Behavior-Robust Feedback Information Routing Strategy for Mass Evacuation , 2008, IEEE Transactions on Intelligent Transportation Systems.

[34]  Antonio Torralba,et al.  LabelMe: A Database and Web-Based Tool for Image Annotation , 2008, International Journal of Computer Vision.

[35]  Jenn-Jier James Lien,et al.  Automatic Vehicle Detection Using Local Features—A Statistical Approach , 2008, IEEE Transactions on Intelligent Transportation Systems.

[36]  ZuWhan Kim,et al.  Robust Lane Detection and Tracking in Challenging Scenarios , 2008, IEEE Transactions on Intelligent Transportation Systems.

[37]  Hong Qiao,et al.  A Low-Cost Pedestrian Detection System with a Single Optical Camera , 2006, 2006 6th World Congress on Intelligent Control and Automation.

[38]  E. Lefevre,et al.  Classifiers and distance-based evidential fusion for road travel time estimation , 2006, SPIE Defense + Commercial Sensing.

[39]  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).

[40]  Remco C. Veltkamp,et al.  A survey of content based 3D shape retrieval methods , 2004, Proceedings Shape Modeling Applications, 2004..

[41]  Jitendra Malik,et al.  Learning a classification model for segmentation , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[42]  Michalis E. Zervakis,et al.  A survey of video processing techniques for traffic applications , 2003, Image Vis. Comput..

[43]  Jin Hyung Kim,et al.  Color Texture-Based Object Detection: An Application to License Plate Localization , 2002, SVM.

[44]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[45]  Donald J Dailey,et al.  A statistical algorithm for estimating speed from single loop volume and occupancy measurements , 1999 .

[46]  Andrew E. Johnson,et al.  Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[47]  Darcy M. Bullock,et al.  Travel time studies with global positioning and geographic information systems: an integrated methodology , 1998 .

[48]  Peter Secretan.  Learning , 1965, Mental Health.

[49]  Xiao Liu,et al.  Recognizing architecture styles by hierarchical sparse coding of blocklets , 2014, Inf. Sci..

[50]  S. Hamidreza Kasaei,et al.  New Morphology-Based Method for Robust Iranian Car Plate Detection and Recognition , 2010 .

[51]  P. KaewTrakulPong,et al.  An Improved Adaptive Background Mixture Model for Real-time Tracking with Shadow Detection , 2002 .