LEA is a lightweight eyetracking algorithm library (hence the name) written in and for Java. LEA is able to track eye movements with an ordinary webcam and returns relative movements (up, down, ...). It is also able to compensate for slight head motions.
We present MocapNET, an ensemble of SNN encoders that estimates the 3D human body pose based on 2D joint estimations extracted from monocular RGB images. MocapNET provides BVH file output which can be rendered in real-time or imported without any additional processing in most popular 3D animation
... [More] software. The proposed architecture achieves 3D human pose estimations at state of the art rates of 400Hz using only CPU processing. [Less]
A Webcam application, consists of an application that connects to the camera, a Servlet that receives the images, an Applet that displays the video and a simple client for FTP upload.
For the moment, only the simple FTP client is under active development.
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