Tohme: detecting curb ramps in google street view using crowdsourcing, computer vision, and machine learning
暂无分享,去创建一个
Jon Froehlich | David W. Jacobs | Robert Moore | Jon E. Froehlich | Jin Sun | Kotaro Hara | D. Jacobs | J. Sun | Kotaro Hara | Robert Moore
[1] Walter S. Lasecki,et al. Real-time captioning by groups of non-experts , 2012, UIST.
[2] Daniel J. Hruschka,et al. Reliability in Coding Open-Ended Data: Lessons Learned from HIV Behavioral Research , 2004 .
[3] J B Kirschbaum,et al. DESIGNING SIDEWALKS AND TRAILS FOR ACCESS, PART 2, BEST PRACTICES DESIGN GUIDE , 2001 .
[4] Jon Froehlich,et al. Combining crowdsourcing and google street view to identify street-level accessibility problems , 2013, CHI.
[5] Jon Froehlich,et al. Exploring Early Solutions for Automatically Identifying Inaccessible Sidewalks in the Physical World using Google Street View , 2014 .
[6] Klaus Krippendorff,et al. Content Analysis: An Introduction to Its Methodology , 1980 .
[7] Afshin Dehghan,et al. GMCP-Tracker: Global Multi-object Tracking Using Generalized Minimum Clique Graphs , 2012, ECCV.
[8] Luc Van Gool,et al. The 2005 PASCAL Visual Object Classes Challenge , 2005, MLCW.
[9] Janet M Barlow,et al. Pedestrian Mobility and Safety Audit Guide , 2008 .
[10] Julien O. Teitler,et al. Using Google Street View to audit neighborhood environments. , 2011, American journal of preventive medicine.
[11] Acsw John T. Pardeck. Americans with Disabilities Act of 1990 , 1997 .
[12] 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).
[13] Jonathon Shlens,et al. Fast, Accurate Detection of 100,000 Object Classes on a Single Machine , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Mubarak Shah,et al. Street View Challenge: Identification of Commercial Entities in Street View Imagery , 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.
[15] H. Badland,et al. Can Virtual Streetscape Audits Reliably Replace Physical Streetscape Audits? , 2010, Journal of Urban Health.
[16] Pietro Perona,et al. Online crowdsourcing: Rating annotators and obtaining cost-effective labels , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.
[17] Christian Früh,et al. Google Street View: Capturing the World at Street Level , 2010, Computer.
[18] Alexei A. Efros,et al. Putting Objects in Perspective , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[19] Richard Szeliski,et al. Street slide: browsing street level imagery , 2010, ACM Trans. Graph..
[20] Bohn Stafleu van Loghum,et al. Online … , 2002, LOG IN.
[21] J. White. The Americans with Disabilities Act. , 1996, Ohio nurses review.
[22] David A. McAllester,et al. A discriminatively trained, multiscale, deformable part model , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[23] Peng Dai,et al. Artificial Intelligence for Artificial Artificial Intelligence , 2011, AAAI.
[24] Jennifer Ailshire,et al. Using Google Earth to conduct a neighborhood audit: reliability of a virtual audit instrument. , 2010, Health & place.
[25] Mubarak Shah,et al. Accurate Image Localization Based on Google Maps Street View , 2010, ECCV.
[26] Richard E. Ladner,et al. The design of human-powered access technology , 2011, ASSETS.
[27] D Ellek,et al. The Americans with Disabilities Act of 1990. , 1991, The American journal of occupational therapy : official publication of the American Occupational Therapy Association.
[28] Frédéric Jurie,et al. Groups of Adjacent Contour Segments for Object Detection , 2008, IEEE Trans. Pattern Anal. Mach. Intell..
[29] Alexei A. Efros,et al. Ensemble of exemplar-SVMs for object detection and beyond , 2011, 2011 International Conference on Computer Vision.
[30] ZissermanAndrew,et al. The Pascal Visual Object Classes Challenge , 2015 .
[31] Jon Froehlich,et al. A feasibility study of crowdsourcing and google street view to determine sidewalk accessibility , 2012, ASSETS '12.
[32] Jianxiong Xiao,et al. Image-based street-side city modeling , 2009, ACM Trans. Graph..
[33] 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.
[34] Pietro Perona,et al. Visual Recognition with Humans in the Loop , 2010, ECCV.
[35] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[36] Eric Horvitz,et al. Combining human and machine intelligence in large-scale crowdsourcing , 2012, AAMAS.
[37] Benjamin B. Bederson,et al. Human computation: a survey and taxonomy of a growing field , 2011, CHI.
[38] Jon Froehlich,et al. An Initial Study of Automatic Curb Ramp Detection with Crowdsourced Verification Using Google Street View Images , 2013, HCOMP.
[39] Michael S. Bernstein,et al. Scalable multi-label annotation , 2014, CHI.
[40] Khai N. Truong,et al. CrossingGuard: exploring information content in navigation aids for visually impaired pedestrians , 2012, CHI.
[41] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[42] Jon Froehlich,et al. Improving public transit accessibility for blind riders by crowdsourcing bus stop landmark locations with Google street view , 2013, ASSETS.
[43] Kristen Grauman,et al. Predicting Sufficient Annotation Strength for Interactive Foreground Segmentation , 2013, 2013 IEEE International Conference on Computer Vision.
[44] Hao Su,et al. Crowdsourcing Annotations for Visual Object Detection , 2012, HCOMP@AAAI.
[45] Mausam,et al. Dynamically Switching between Synergistic Workflows for Crowdsourcing , 2012, AAAI.
[46] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[47] Rob Miller,et al. VizWiz: nearly real-time answers to visual questions , 2010, UIST.