This is a C++ implementation of OpenTLD that was originally published in MATLAB by Zdenek Kalal. OpenTLD is used for tracking objects in video streams. What makes this algorithm outstanding is that it does not make use of any training data. This implementation is based solely on open source libraries, meaning that you do not need any commercial products to compile or run it.
The easiest way to get started is to download the precompiled binaries that are available for Windows and Ubuntu 12.04.
There is also a PPA available for Ubuntu 12.04. You just have to execute these commands:
sudo add-apt-repository ppa:opentld/ppa sudo apt-get update sudo apt-get install opentld
If you have a webcam attached to your PC, you can simply execute opentld (on Linux) or opentld.exe (on Windows) in order to
try it out. You can use the graphical configuration dialog as well, you just have to execite qopentld (on Linux) or qopentld.exe
For other configuration options, please see below.
A documentation of the internals as well as other possibly helpful information is contained in this master thesis.
bremember current frame as background model / clear background
cclear model and stop tracking git
atoggle alternating mode (if true, detector is switched off when tracker is available)
eexport model to file specified in configuration parameter "modelExportFile"
iimport model from file specified in configuration parameter "modelPath"
rclear model, let user reinit tracking
Command line options
opentld [option arguments] [arguments]
[-a <startFrameNumber>]video starts at the frameNumber startFrameNumber
[-b <x,y,w,h>]Initial bounding box
[-d <device>]select input device: device=(IMGS|CAM|VID)
IMGS: capture from images
CAM: capture from connected camera
VID: capture from a video
[-e <path>]export model after run to path
[-i <path>]path to the images or to the video.
[-m <path>]if specified load a model from path. An initialBoundingBox must be specified or selectManually must be true.
[-n <number>]Specifies the video device to use (defaults to 0). Useful to select a different camera when multiple cameras are connected.
[-p path]prints results into the file path
[-s]if set, user can select initial bounding box
[-t <theta>]threshold for determining positive results
[-z <lastFrameNumber>]video ends at the frameNumber lastFrameNumber. If lastFrameNumber is 0 or the option argument isn't specified means all frames are taken.
[CONFIG_FILE] path to config file
Look into the sample-config-file for more information.
- libconfig++ (optional)
- Qt4 (optional)
OpenTLD uses CMake to create native build environments such as make, Eclipse, Microsoft Visual Studio. If you need help look at Running CMake.
You can use
cmake-gui, if you need a graphical user interface.
Use CMake to build the project. You can use "cmake-gui", if you need a graphical user interface.
- Specify the source path (root path of the dictionary) and the binary path (where to build the program, out of source build recommended)
- Select compiler
- Adjust the options (if needed)
If you have uncompressed the source in $OPENTLD, type in a console:
cd $OPENTLD mkdir ../build cd ../build cmake ../$OPENTLD -DBUILD_QOPENTLD=ON -DUSE_SYSTEM_LIBS=OFF
BUILD_QOPENTLDbuild the graphical configuration dialog (requieres Qt)
USE_SYSTEM_LIBSdon't use the included cvblob version but the installed version (requieres cvblob)
Windows (Microsoft Visual Studio)
Navigate to the binary directory and build the solutions you want (You have to compile in RELEASE mode):
opentldbuild the project
INSTALLinstall the project
Navigate with the terminal to the build directory
makebuild the project
make installbuild and install the project
brew install python
brew install gfortran
brew install cmake
brew install opencv
makebuild the project
- Navigate with the terminal into the root dictionary of OpenTLD (OpenTLD/)
debuild -us -uc
- Delete the temporary files in the source tree with