Multimodal Decomposable Model for Human Pose Estimation

Ben Sapp and Ben Taskar, CVPR 2013

http://www.seas.upenn.edu/~bensapp/cvpr13-modec.pdf

  @inproceedings{modec13,
    title={Multimodal Decomposable Models for Human Pose Estimation},
    author={Sapp, Benjamin and Taskar, Ben},
    booktitle={In Proc. CVPR},
    year={2013},
  }

This code provides an end-to-end implementation of the MODEC model trained for upper body human pose estimation---from pixels to joints.

Please go to http://vision.grasp.upenn.edu/cgi-bin/index.php?n=VideoLearning.MODEC for more details.

• Run demo_MODEC.m to load up an example image, detect a torso, predict joints and display output information.
• Run eval_dataset.m to replicate the curves in the paper. You will need to download the FLIC dataset for this to work.
• Run train_MODEC.m to learn a new model from scratch.

bensapp @ google . com

MIT