% This file was created with JabRef 2.3.1. % Encoding: ISO8859_1 @STRING{AAP = {Accident Analysis \& Prevention}} @STRING{cviu = {Computer Vision and Image Understanding}} @STRING{FHWA = {Federal Highway Administration}} @STRING{icml = {International Conference on Machine Learning}} @STRING{ieee-cvpr = {Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)}} @STRING{ieee-icip = {IEEE International Conference on Image Processing}} @STRING{ieee-its = {IEEE Transactions on Intelligent Transportation Systems}} @STRING{ieee-itsc = {Intelligent Transportation Systems Conference}} @STRING{ieee-pami = {IEEE Transactions on Pattern Recognition and Machine Intelligence}} @STRING{ijcv = {International Journal of Computer Vision}} @STRING{ivc = {Image and Vision Computing}} @STRING{jmlr = {Journal on Machine Learning Research}} @STRING{trb = {Transportation Research Board Annual Meeting Compendium of Papers}} @STRING{trp-c = {Transportation Research Part C: Emerging Technologies}} @STRING{trr = {Transportation Research Record}} @INPROCEEDINGS{ismail09automated, author = {Karim Ismail and T. Sayed and N. Saunier}, title = {Automated Collection Of Pedestrian Data Using Computer Vision Techniques}, booktitle = {Transportation Research Board Annual Meeting Compendium of Papers}, year = {2009}, address = {Washington D.C.}, month = jan, note = {Reference 09-1122.} } @comment{jabref-meta: groupsversion:3;} @comment{jabref-meta: groupstree: 0 AllEntriesGroup:; 1 KeywordGroup:Computer Vision\;2\;keywords\;cv\;0\;0\;; 1 KeywordGroup:Bayesian\;2\;keywords\;bayes\;0\;0\;; 1 KeywordGroup:Machine Learning\;2\;keywords\;ml\;0\;0\;; 1 KeywordGroup:Transportation\;2\;keywords\;transportation\;0\;0\;; 2 KeywordGroup:Traffic Conflicts\;2\;keywords\;conflicts\;0\;0\;; 2 KeywordGroup:Safety\;2\;keywords\;safety\;0\;0\;; 2 KeywordGroup:Pedestrian\;2\;keywords\;pedestrian\;0\;0\;; }