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Robust Multiple Camera Tracking with Spatial And Appearance Contexts

Home Page: http://santhoshsunderrajan.com/software.html

MATLAB 46.91% C++ 4.85% C 15.61% CSS 0.04% JavaScript 0.14% Makefile 0.07% HTML 32.24% Mathematica 0.11% Batchfile 0.02%

contextualmulticameratracker's Introduction

A multi-camera tracking algorithm using matlab.

Usage

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

i) Configure the tracker in @Config/Config.m:

ii) Run the tracker: main.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://santhoshsunderrajan.com/

Bibtex

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

@inproceedings{sunderrajan2014robust,
  title={Robust Multiple Camera Tracking with Spatial And Appearance Contexts},
  author={Sunderrajan, Santhoshkumar and Jagadeesh, Vignesh and Manjunath, BS},
  year={2015},
}

@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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