Embedded Systems Design student Annie Dai recently finished up her final project for the Spring 2013 semester at Cornell University. Based on an Altera DE-2 FPGA board, her project was designed to track realtime movement in a subject’s upper body (head, torso, right & left arms) using the DE-2, a VGA monitor, and a video camera on the hardware end.
The movement tracking is achieved by way of skin detection algorithms computed by the FPGA, using data derived from the video feed:
This is a pretty cool proof-of-concept to be sure; it will be interesting to see what these student designers will be working on in five more years’ time! Annie posted some more project links and the entirety of her design on her Cornell student project page. Or, you can link to the project directly: