#Arduino camera opencv install
#Arduino camera opencv software

You can just print out the symbols and attach them to the objects you wish to track (the camera of course needs to see the symbols)

#Arduino camera opencv software

ReacTIVision is a software that is able to track specific amoeba-like shapes called fiducials from the camera image. You can also receive the tracking data in other programming environments.Works nicely with infrared cameras for tracking objects with IR LEDs.

The software sends tracking information via a protocol called TUIO. Community Core VisionĬCV is a handy blob tracking software originally developed by/for DIY multitouch table developers, but it can be used for other purposes also. There are many programs developed just for tracking purposes and they will send the tracking data via OSC. Processing will get you pretty far, but it’s not the fastest for analyzing video. Follow this instruction to fix the error. You will probably get an error when you try to run it.Open face_detection sketch from the OpenCV examples.Select Sketch –> Import Library… –> Add Library….

#Arduino camera opencv install

Follow the instruction here: to install OpenCV to your computer.You can also try installing the OpenCV library for Processing to be able to do some more sophisticated tracking (face tracking, blob tracking): FrameDifferencing – Similar to the first example, but instead of a pre-defined background the current frame is compared to the previous one.BrightnessTracking – Tracks the brightest pixel.BackgroundSubtraction – You define a background and the program then compares what is different in the current frame compared to the background.Open the examples window from Processing (File–>Examples…) and take a look at the following sketches: The built-in video library for Processing has a couple of examples for basic video tracking. How can we do things like these ourselves? Let’s go through some tools that are available for us. Hands Up! A Visual Essay on the ‘Media Art Pose’.Computer Vision for Artists and Designers: Pedagogic Tools and Techniques for Novice Programmers.Guide to Camera Types for Interactive Installations.See the article linked below for pros and cons of different cameras. Normal RGB cameras are good when you need color tracking, infra-red cameras are nice for situations where you have projections or dark spaces and Kinect or other depth cameras are great for detecting people. With the help of different cameras, you can detect different features from the environment. That’s when computer vision comes into play. Arduino is great for sensing many kinds of inputs, but sometimes you need make your installation see the world in a bit more detailed way.