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A multi-camera tracking algorithm using matlab.

MATLAB 33.21% C++ 24.88% C 19.50% M 0.02% HTML 17.81% Mathematica 0.17% Makefile 0.82% TeX 1.20% CSS 0.38% Shell 0.05% Objective-C 0.19% Python 1.56% Clean 0.08% Roff 0.13%

multiviewappearancetracker's Introduction

A multi-camera tracking algorithm using matlab.

This is a matlab implementation of the paper "Multiple view discriminative appearance modeling with IMCMC for distributed tracking" published in ICDSC'13.

Usage

In order to run the tracker, use the following command:

i) Set configuration SetupCameraNetwork.m

ii) Define global constants in Constants.m

iii) Finally run AnalyzeCameraNetwork.m

Dataset

i) Download the sample dataset archive in a supported format from: https://www.dropbox.com/s/p2sz9wea0gdnzug/data.tar.gz?dl=0 and save it in the root folder

ii) Untar the data folder: tar -xzf data.tar.gz

iii) The folder structure would like this:

.
├── README.md
├── data
├── data.tar.gz
├── libs
└── src

Contact

[1] Santhoshkumar Sunderrajan( [email protected])

Website: http://vision.ece.ucsb.edu/~santhosh/

Bibtex

If you use the code in any of your research works, please cite the following papers:

@inproceedings{sunderrajan2013multiple,
  title={Multiple view discriminative appearance modeling with IMCMC for distributed tracking},
  author={Sunderrajan, Santhoshkumar and Manjunath, BS},
  booktitle={Distributed Smart Cameras (ICDSC), 2013 Seventh International Conference on},
  pages={1--7},
  year={2013},
  organization={IEEE}
}

Disclaimer

I may have used some good codes from various sources, please feel free to notify me if you find a piece of code that I need to acknowledge.

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