Workshop Content This workshop will focus on the practical application of elementary computer vision techniques in media arts, and how they can be implemented in Max and Jitter. Workshop Structure The workshop is divided in six modules of approximately equal length. At the beginning of each module a short lecture is given to introduce artists who use computer vision techniques in their work. One particular piece will act as a bridge to the technical and hands-on section of the module, where participants will be shown how to realise similar effects to those found in the piece. Module 1: Motion In this module, students will be introduced with available computer vision tools, such as the cv.jit externals which will be used in the rest of the workshop. Students will learn how to perform tasks such as zone-based motion detection and background/foreground extraction. Module 2: Shape In this module, students will learn the basics of binary shape analysis. Statistical methods, based on moments, will be introduced. Module 3: Connected components In this module, students will learn how to work with segmented images, in order to analyse different elements of the image separately. Module 4: Edges In this module, students will learn how to identify and work with image edges and contours. Module 5: Tracking In this module, students will learn techniques for tracking in time objects in an image. Module 6: Recognition In this module, students will learn how to perform high-level pattern recognition, which will allow them to detect faces and other complex objects.