People can easily recognize the walking style of their friends. Let's see if we can teach a computer to identify walking people on videos.

What it does

It identifies people on videos based on their walking style.

How we built it

We build a neural network in torch and trained in on Amazon Web Service because we needed a lot of computing power. Additionally, we've made a website client in Ruby on Rails and a back-end server in Node.js which runs a trained neural network. When this neural network receives a video it returns the probabilities for every person it knows that the person is walking in the uploaded video.

Challenges we ran into

  1. Training a neural network is reeeally computing power demanding. We had some tough times trying to connect to AWS servers.
  2. Connecting all the servers together.
  3. Choosing a proper model for the neural network.
  4. We had to record a massive amount of videos of walking people.

Accomplishments that we are proud of

Well, we made an awesome neural network based project! Yay!

What we learned

We learnt a lot about the technologies we used.

What's next for tundra-force team

We're going to...

Dade is shouting HACK THE PLANET!

Share this project: