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@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.}
}

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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\;;
}