SVEN CV - the computer vision software used for SVEN - is now available to the public. The features and interface were designed specifically for the SVEN - Surveillance Video Entertainment Network project, so the interface isn’t what you might expect from user-friendly, general purpose software. However, we hope it can be useful for other public space projects, as it is specifically designed to track people in uncontrolled public settings, as opposed to a gallery or stage where lighting, background, clothing, etc., can be controlled.

SVEN CV is a software application for real time tracking of pedestrians, using OpenCV. Its robust build has features for tracking several individuals with all kinds of foreground and background occlusions. It also provides real-time subjective features such as face detection and expression; hair and clothing color; segmentation of the body to give positions for head, shoulders, and torso; direction of movement and more. It transfers the data including the coordinates of the person’s outline (matte) to a specified IP address or the local machine via a UDP port. It supports input from both live camera and AVI files.

SVEN Credits: Amy Alexander, Wojciech Kosma, Vincent Rabaud with Nikhil Rasiwasia and Jesse Gilbert; Production Assistants: Marilia Maschion, Annina Rüst, Cristyn Magnus.