No description, website, or topics provided.
Switch branches/tags
Nothing to show
Clone or download
Latest commit 30b0a6d Sep 6, 2017
Permalink
Failed to load latest commit information.
data fixing annolists Sep 5, 2017
deepcut @ 096e2d1 first commit Jul 18, 2017
external/deepmatching first commit Jul 18, 2017
posetrack Update pt_eval_pose_tracking.m Sep 5, 2017
.gitmodules first commit Jul 18, 2017
README.md Update README.md Sep 6, 2017
demo_posetrack.m first commit Jul 18, 2017
startup.m first commit Jul 18, 2017

README.md

PoseTrack: Joint Multi-Person Pose Estimation and Tracking

The repo provides the source code for our CVPR'17 paper for joint mult-person pose estimation and tracking.

Umar Iqbal, Anton Milan, Juergen Gall
PoseTrack: Joint Multi-Person Pose Estimation and Tracking
IEEE Conference on Computer Vision and Pattern Recongnition (CVPR) 2017.
Project Page

The code is tested on Ubuntu 16.04 (64bit) with MATLAB (2016a).

Installation

Dependencies
Installation Instructions
  1. Clone repository

    $ git clone https://github.com/iqbalu/PoseTrack-CVPR2017.git --recursive
    
  2. Build and download dependencies of DeeperCut

    1. Build Caffe and its MATLAB interface after configuring Makefile.config

      $ cd deepcut/external/caffe
      $ make -j 12 all matcaffe
      
    2. Build liblinear, specify the path to the MATLAB installation

      $ cd deepcut/external/liblinear-1.94/matlab
      $ CC=gcc CXX=g++ MATLABDIR=PATH_TO_MATLAB make
      
    3. Download models

      $ cd deepcut/data
      $ ./download_models.sh
      
  3. Build PoseTrack solver

    $ cd posetrack/solver
    $ cmake . -DGUROBI_ROOT_DIR=/path/to/gurobi605/linux64 -DGUROBI_VERSION=60
    $ make pt-solver-callback
    
  4. Obtain Gurobi license and place the license at desired location and modify the p.gurobi_license_file in posetrack/lib/pt_exp_params.m to point to the license file location.

  5. Download PoseTrack models

    $ cd data
    $ ./download_models.sh
    

Run Demo

% start matlab
>> startup
>> demo_posetrack

One video for demo purposes is already provided. However, if you want to run the code over all videos, please download Multi-Person PoseTrack dataset and place the videos under 'data/bonn-multiperson-posetrack/'.

Citing

@inproceedings{iqbal2016PoseTrack,
	author = {Umar Iqbal and Anton Milan and Juergen Gall},
	title = {PoseTrack: Joint Multi-Person Pose Estimation and Tracking},
	booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
	year = {2017},
	url = {https://arxiv.org/abs/1611.07727}
}

Acknowledgements

The authors are thankful to Chau Minh Triet, Andreas Doering, and Zain Umer Javaid for the help with annotating the dataset. The work has been financially supported by the DFG project GA 1927/5-1 (DFG Research Unit FOR 2535 Anticipating Human Behavior) and the ERC Starting Grant ARCA (677650).
Thanks to Eldar Insafutdinov for releasing the code for DeeperCut.