Awesome

AOGTracker

Reproducing all experimental results in the paper

Tianfu Wu , Yang Lu and Song-Chun Zhu, Online Object Tracking, Learning and Parsing with And-Or Graphs, arXiv 1509.08067, TPAMI (under revision). http://arxiv.org/abs/1509.08067

See a demo here: https://www.youtube.com/watch?v=1Ian4qzkNLA

The code is written by Matt Tianfu Wu (tfwu@stat.ucla.edu). Please feel free to report issues to him.

If you find the code is useful in your projects, please consider to cite the paper,

@article{AOGTracker,
  author    = {Tianfu Wu and
               Yang Lu and
               Song{-}Chun Zhu},
  title     = {Online Object Tracking, Learning and Parsing with And-Or Graphs},
  journal   = {CoRR},
  volume    = {abs/1509.08067},
  year      = {2015},
  url       = {http://arxiv.org/abs/1509.08067},
  timestamp = {Thu, 01 Oct 2015 14:28:48 +0200},
  biburl    = {http://dblp.uni-trier.de/rec/bib/journals/corr/WuLZ15b},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}

0. System requirements:

OS

We tested our tracker on Ubuntu 14.04 LTS. Other OS will be supported later on.

Third-party libraries

sudo apt-get install build-essential cmake libboost1.55-all-dev libopencv-dev libeigen3-dev libfftw3-dev graphviz mpich2

Note: please use libboost1.55-all-dev for the best practice.

The TRAX library for VOT

It is needed for integrating AOGTracker4VOT into vot-toolkit. Please follow the instrunctions at https://github.com/votchallenge/trax.git.

1. Compiling the code

Assume you put the code at PATH_TO_AOGTracker. It is recommended to build the software in a separate directory. For example

cd PATH_TO_AOGTracker
mkdir build
cd build

Then use CMake to generate the necessary Makefiles with different options (e.g., release version with MPI and VOT support), which you can change accordingly

cmake -DCMAKE_BUILD_TYPE=Release -DRGM_USE_MPI=OFF -DRGM_RUN_VOT=ON ..

Then build the code with

make or make -j 8 (using multithread)

Or, use CMake-gui to do this and use your own favoriate c++ IDE (e.g., Qt creator) to build the code.

After compiling, the release/debug version executables (entry or entryd, AOGTracker4VOT or AOGTracker4VOTd) will be put in PATH_TO_AOGTracker/build/bin

2. Preparing the Datasets

TB100/50 is available at http://cvlab.hanyang.ac.kr/tracker_benchmark/. Please download all the data to PATH_TO_TB100 (e.g. /home/your_user_name/Data/TB100/) Note that: TB100-occ is provided which specifies omitting frame index in TRE (provided by TB-100 authors)

VOT datasets are vailable at http://www.votchallenge.net/. vot-toolkit will download the data automatically.

3. Run AOGTracker in the termial

Change settings in the configuratin xml file, PATH_TO_AOGTracker/config/tracker_config.xml (e.g., specify your data directory, and TB100-occ directory for omitFrameIdxSpecDir, etc)

Using single workstation (when -DDRGM_USE_MPI=OFF was used in compiling the code)

cd PATH_TO_AOGTracker/build/bin
./entry Tracking PATH_TO_AOGTracker/config/tracker_config.xml

Using a cluster through MPI (when -DDRGM_USE_MPI=ON was used in compiling the code)

If you have mulitple workstations available, please follow https://help.ubuntu.com/community/MpichCluster to set up the cluster.

cd PATH_TO_AOGTracker/build/bin
/usr/bin/mpiexec.mpich -f machine ./entry Tracking PATH_TO_AOGTracker/config/tracker_config.xml

Note: "machine" is a txt file specifying the cluster machines, and the executable and data directory should be shared among all cluster machines.

4. Generate performance comparison plots in TB-100

We provide the matlab scripts. Run PATH_TO_AOGTracker/matlab/PerfCompTB100/GenPerfPlots_TB100.m

5. Run AOGTracker4VOT

a) Follow the vot-toolkit tutorial to set up the testing environment using matlab.

b) Modify the configuration.m file by adding to the end: set_global_variable('trax_timeout', 20*60);

c) Modify the tracker_AOGTracker.m, e.g.,

tracker_label = ['AOGTracker'];

> for VOT2013, VOT2014 and VOT2015
	tracker_command = 'PATH_TO_AOGTracker/build/bin/AOGTracker4VOT PATH_TO_AOGTracker/config/vot_config.xml';

> for VOT-TIR2015
	tracker_command = 'PATH_TO_AOGTracker/build/bin/AOGTracker4VOT PATH_TO_AOGTracker/config/vottir_config.xml';

6. Acknowledgement

In general, the code is developed with the help from voc-release 5 by Dr. Ross Girshick and Prof. Felzenszwalb. The codes for computing HOG features, FFT convolution and LBFGS are adapted from FFLD by Dr. Charles Dubout http://charles.dubout.ch/en/coding.html. We are grateful to them for making their codes publicly available.