GithubHelp home page GithubHelp logo

Comments (3)

moooises avatar moooises commented on September 26, 2024 1

Hi @facundo-lezama, thanks for the quick response.

I'm interested in having both application, tracking with an object dectector and with a box made by hand.
I'm planning to deploy them in a camera with motion sensor and it want to see how to make the camera moves following a tracked object. Because I have been working using Norfair for the past month, I was trying to make it work using Norfair too.
But it is ok, I will just use an OpenCV tracker for this case.

Thank you so much.

from norfair.

facundo-lezama avatar facundo-lezama commented on September 26, 2024

Hi @moooises, thanks for the detailed explanation.

Norfair is designed to be what is called a tracker by detection, meaning that it expects to have detections to be able to track objects. The motion estimation is done by a Kalman Filter that expects detection evidence to estimate new positions for the objects. There's no visual information included in the estimation, so it isn't possible to estimate future positions based on a single detection (the first one defined by hand), it is necessary to give a couple of detections so the positions and velocities can be estimated. This being said, even if you feed the Tracker with a couple of detections at first, it isn't possible to estimate the positions of the objects through the rest of the video because Norfair's Tracker expects to be fed detections at least once in a while.

Norfair is designed to allow some frame skipping in case the user needs some extra speed, and it also allows for some missing detections, but it heavily relies on having detections to track objects.

Can you mention a bit more about the use case? Why do you need to select the object yourself?

from norfair.

facundo-lezama avatar facundo-lezama commented on September 26, 2024

Let us know how it goes! Maybe this is something we can discuss internally and see if it fits what we want for Norfair.

from norfair.

Related Issues (20)

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.