Code Monkey home page Code Monkey logo

circulant_matrix_tracker's Introduction

Circulant matrix tracker

Tracking example

Python port of

"Exploiting the Circulant Structure of Tracking-by-detection with Kernels" João F. Henriques, Rui Caseiro, Pedro Martins, and Jorge Batista ECCV 2012

Find original matlab code and related publication at http://www.isr.uc.pt/~henriques

To use this code:

  1. Download and unzip some of the MILTrack videos
  2. Run ./circulant_matrix_tracker.py -i path_to_folder_with_video_data

Example: ./circulant_matrix_tracker.py -i /path_to_data/surfer/

During execution drawing is the slowest part, if you close the drawing window, computation will significantly speed-up; a result curve is show when reaching the end of the video.

Dependencies

  • Python (used 2.7, might work with other versions too)
  • Numpy
  • Matplotlib
  • Scipy

Bug reports

Feel free to report bugs using github's issue tracker. This port seems to work fine, but might still contain bugs.

Rodrigo Benenson, MPI-Inf 2013

circulant_matrix_tracker's People

Contributors

rodrigob avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.