This three-week course will introduce the use of techniques in computer vision for creating interactive artworks and applications.. By using sophisticated algorithms which surreptitiously analyze video and camera streams to identify and track people, faces, moving bodies, and colors, we can add a playful–or slightly sinister–dose of interactivity to our work.
[Nov 5-26] Computer Vision ONLINE Course
Wed, Nov 5 through Wed, Nov 25
Cost: $200 (members + students) $225 (regular)
Pay with PayPal or Credit Card on our Payment Page here US-Customers see the bottom of this page.
Location: This class is held online, you need to have internet connection to watch videos and engage in the forums. Shortly before the class starts you will get a link with further instructions how to take part in it.
Location: This is an online class, hosted by Tenlegs.com.. Video lectures will be posted on the main page, and we will continuously discuss new topics, questions, ideas, and code bugs on the forum page.
In collaboration with Tenlegs, a network for artists to connect, collaborate, earn and learn, Harvestworks offers this class as part of it’s online TEAMLab class program. Online means that anyone – and in any timezone – can take it and make it work with your schedule. Initially and throughout the course you’ll have access to video lectures created specifically for this workshop, a series of hands-on challenges meant to give you experience building your own artworks, and live sessions to ask questions, get answers, and go deeper with the material.
The class will run three weeks. Video lectures will be released once a week, to be watched on the students own time. There are no mandatory days to be available, as long as you are able to keep up with the new material each week.
- Week 1: Crash course/review of Processing language and environment, basic graphics, interactivity, and getting images on the canvas.
- Week 2: Basic CV techniques and applications — loading movies and camera feeds, motion detection and quantification, simple color and brightness tracking
- Week 3: Using OpenCV — filtering and pre-processing, blob tracking, face detection, locating and tracking people in cameras, adding parameters and interactivity to installations.
You need to have internet connection to watch videos and engage in the forums. You also need a computer with processing installed — you can download a free copy from http://www.processing.org.
There will be around 90 minutes of video lectures released each week. Students will need to commit 3-4 hours per week for watching them, going through supplementary materials, and doing some basic practice and implementation. But as in any art practice, you’ll get more out of it if you can make another 5-10 hours to practice more and create on your own time.
Prior to the class you may also log into tenlegs.com and create an artist portfolio: https://www.tenlegs.com/signup
About The Instructor
Gene Kogan is a media artist and programmer who writes free software for performing arts and researches emerging technologies. His work can be seen at genekogan.com.