Here you can download the three on-line boosting based trackers (Licensed under LGPL, use at own risk) as
In this version only Haar-like wavelets are used as basic features and weak classifiers are simple decision stumps. Further, no scale/ rotation adaption is implemented.
win32 binaries (preliminary version 0.3 - comments are more than welcome)
If the binaries do not run on your computer, you should install the Microsoft Visual C++ 2005 Service Pack 1 Redistributable Package ATL Security Update.
Usage: Start the tracker using one of the following commands:
Mark the target object in the first frame using the mouse. Then change to the DOS-window and press <ENTER>. Tracking starts...
|(a) start the program||(b) initialize the object||(c) tracking...|
Additionally you might change some parameters manually using the config file:
% Boosting Tracking version 0.3
|Version of the Software|
% source options: USB, AVI, JPEG source = USB % only if source is AVI OR JPEG directory = ""
|Specify the input video stream. One might use a USB webcamera connected to the computer, an AVI-video file or an JPEG image sequence. For the later two the filename or the folder containing the single images has to be specified.|
% write debug information debug = true saveDir = "./results"
|Tracking results can be saved during tracking. You can find the images with the tracked bounding box and a textfile with the coordinates of the tracked bounding box (format: #frameNumber upper left height width confidence)|
% classifier (boosting) numSelectors = 100
|Parameters for the on-line boosting classifier. The classifier will be more powerful if you increase the number of selectors (generally better tracking results, but slower).|
% search region (size and resolution) overlap = 0.99 searchFactor = 2
|Parameters of the search region. The overlap (0<overlap<1) specifies the search grid, i.e., the number of evaluations (generally more accurate tracking results with higher overlap, but slower). The search factor (searchFactor > 1) determines the size of the local search region with respect to the tracked object size. Note, for Semi-Supervised and Beyond Semi-Supervised Tracker the the values are automatically set once the object is lost (overlap = 0.98; search region is the whole image).|
%initialization bounding box: MOUSE or COORDINATES
|You can either select the bounding box of the object to be tracked manually (MOUSE) or by specifying the coordinates (COORDINATES).|
download source code
complete source code (platform independent) (preliminary version 0.3 - comments are more than welcome)
Additional Library used: OpenCV Version 1.0: download here
If you use Visual Studio 2005, here are the settings:
Compiler settings (Configuration: All Configurations) (Configuration Properties / C/C++ / General / Additional Include Directories)
Linker settings (Configuration Properties / Linker / Input / Additional Dependencies)
cv.lib cxcore.lib cvcam.lib highgui.lib
and(Configuration Properties / Linker / General / Additional Library Directories)