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Car Data Readme
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Cars----
The database of color car images was generated from video
sequencesta en in Boston and Cambridge over the course of a couple
of days in1999. Our goal was to demonstrate the rapid portability
of thetrainable object detection system described in [2], [3] to a
newdomain; this data was used in [1], [4], [5]. The pose of the
cars inthe dataset is limited to frontal and rear views.
Each image was extracted from raw data and was scaled to the
size128x128 and aligned so that the car was in the center of the
image;the size of the cars is such that the front or rear bumper
isapproximately 64 pixels across.
The data is presented without any normalization; for details on
howthese images were processed, see the publications below.
[1]@TechReport{PapPog99b,
author = {C. Papageorgiou and T. Poggio},title = {A Trainable
Object Detection System: Car Detection in Static Images},
institution = mitai,year = 1999,number = 1673,month =
{October},note = {(CBCL Memo 180)}}
[2]@INPROCEEDINGS{OrePap97,AUTHOR = {M. Oren and C.P.
Papageorgiou and P. Sinha and E. Osuna and T.
Poggio},TITLE = {Pedestrian Detection Using Wavelet
Templates},BOOKTITLE = cvpr,YEAR = {1997},PAGES = {193-99}}
[3]@INPROCEEDINGS{PapOre98,AUTHOR = {C.P. Papageorgiou and M.
Oren and T. Poggio},TITLE = {A General Framewor for Object
Detection},BOOKTITLE = {Proceedings of 6th International Conference
on Computer Vis
ion},
YEAR = {1998}}
[4]@TechReport{Pap00,author = {C. Papageorgiou},title = {A
Trainable System for Object Detection in Images and Video Seq
uences},institution = mitai,year = 2000,
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type = {Technical Report},number = 1685}
[5]@Article{PapPog00,author = {C. Papageorgiou and T.
Poggio},title = {A Trainable System for Object Detection},journal =
ijcv,year = 2000,note = {In press}}
Copyright 2000Center for Biological and Computational Learning
at MIT and MITAll rights reserved.Permission to copy and modify
this data, software, and its documentation
only for internal research use in your organization is hereby
granted, providedthat this notice is retained thereon and on all
copies. This data and softwareshould not be distributed to anyone
outside of your organization without explicit written authorization
by the author(s) and MIT. It should not be used for commercial
purposes without specific permission from the authors and MIT. MIT
also r
equires written authorization by the author(s) to publish
results obtained withthe data or software and possibly citation of
relevant CBCL reference papers.We ma e no representation as to the
suitability and operability of this
data or software for any purpose. It is provided "as is" without
express or implied warranty.
Bac to CBCL [email protected]
