All provided code is in C++ and makes use of the OpenCV library for storing images and various image operations. You will need to download and install it before being able to use the provided code.
Note: This database is password protected; if you would like to have access to it, please contact Louka Dlagnekov or Serge Belongie.
If you use this database in your research, please use the following citation format:
L. Dlagnekov and S. Belongie, ``UCSD/Calit2 Car License Plate, Make and Model Database,'' http://vision.ucsd.edu/car_data.html.
The provided data include:
All data may be downloaded from the following link:
cardata.tar.gz (183 MB)
Due to the large size of the raw videos, you may download these separately:
031805_0815_0915.dat (694 MB)
031805_1115_1215.dat (866 MB)
031805_1415_1430.dat (222 MB)
031805_1430_1515.dat (594 MB)
031905_0915_0930.dat (222 MB)
031905_0930_1015.dat (626 MB)
032305_0815_0915.dat (1.0 GB)
032305_0915_0930.dat (329 MB)
032305_0930_0945.dat (254 MB)
032305_0945_1015.dat (393 MB)
032305_1015_1115.dat (866 MB)
032305_1115_1215.dat (864 MB)
032305_1415_1515.dat (604 MB)
040605_0900_1000.dat (658 MB)
The file format of all video and .dat files is a sequence of JPEG images taken at 6 frames per second:
--myboundary\r
Content-Type: image/jpeg\r
\r
<JPEG IMAGE DATA>\r
--myboundary\r
Content-Type: image/jpeg\r
\r
<JPEG IMAGE DATA>\r
...
C++ code exists in the code/ subdirectory to read the video files frame by frame. The relevant files are VideoReader.h and VideoReader.cpp.
Most recently updated on Dec. 1, 2007 by Louka Dlagnekov.