PJunhyuk / People Counting Pose
Licence: apache-2.0
Odin: Pose estimation-based tracking and counting of people in videos
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Odin
Pose estimation-based tracking and counting of people in videos
Demo
Demo on YouTube
Paper Abstract
Usage
Uses Docker
Pull docker image
$ docker pull jgravity/tensorflow-opencv:odin
$ docker run -it --name odin jgravity/tensorflow-opencv:odin bin/bash
Download/Install code
# git clone https://github.com/PJunhyuk/people-counting-pose
# cd people-counting-pose
# chmod u+x ./compile.sh && ./compile.sh && cd models/coco && chmod u+x download_models_wget.sh && ./download_models_wget.sh && cd -
Download sample videos in testset
# cd testset && chmod u+x ./download_testset_wget.sh && ./download_testset_wget.sh && cd -
Tracking people
# python video_tracking.py -f '{video_file_name}'
Qualified supporting video type: mov, mp4
You have to put target video file in ./testset folder
Arguments
-f, --videoFile = Path to Video File
-w, --videoWidth = Width of Output Video
-o, --videoType = Extension of Output Video
Example
# python video_tracking.py -f 'test_video_01f.mov'
Check results
> docker cp odin:/people-counting-pose/testset/{video_file_name} ./
Just get pose of people (without tracking)
# python video_pose.py -f '{video_file_name}'
Qualified supporting video type: mov, mp4
Dependencies
Use Docker jgravity/tensorflow-opencv,
or install
- python 3.5.3
- opencv 3.1.0
- jupyter 4.2.1
- git 2.1.4
- tensorflow 1.3.0
- pip packages
- scipy 0.19.1
- scikit-image 0.13.1
- matplotlib 2.0.2
- pyYAML 3.12
- easydict 1.7
- Cython 0.27.1
- munkres 1.0.12
- moviepy 0.2.3.2
- dlib 19.7.0
- imageio 2.1.2
Results (time required)
Check results_log
Reference
Test dataset
- testset/test_video_01: Pedestrian overpass - original video (sample) - BriefCam Syndex
- testset/test_video_02: Pedestrian Walking and Traffic Exit,Human Activity Recognition Video ,DataSet By UET Peshawar
Citation
@inproceedings{insafutdinov2017cvpr,
title = {ArtTrack: Articulated Multi-person Tracking in the Wild},
booktitle = {CVPR'17},
url = {http://arxiv.org/abs/1612.01465},
author = {Eldar Insafutdinov and Mykhaylo Andriluka and Leonid Pishchulin and Siyu Tang and Evgeny Levinkov and Bjoern Andres and Bernt Schiele}
}
@article{insafutdinov2016eccv,
title = {DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model},
booktitle = {ECCV'16},
url = {http://arxiv.org/abs/1605.03170},
author = {Eldar Insafutdinov and Leonid Pishchulin and Bjoern Andres and Mykhaylo Andriluka and Bernt Schiele}
}
Code
pose-tensorflow - Human Pose estimation with TensorFlow framework
object-tracker - Object Tracker written in Python using dlib and OpenCV
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