TrackEye : Real-Time Tracking Of Human Eyes Using a Webcam Introduction Eyes are the most important features of the human face. So effective usage of eye movements as a communication technique in user-to-computer interfaces can find place in various application areas. Eye tracking and the information provided by the eye features have the potential to become an interesting way of communicating with a computer in a human-computer interaction (HCI) system. So with this motivation, designing a real-time eye feature tracking software is the aim of this project. The purpose of the project is to implement a real-time eye-feature tracker with the following capabilities: RealTime face tracking with scale and rotation invariance Tracking the eye areas individually Tracking eye features Eye gaze direction finding Remote controlling using eye movements Instructions to Run and Rebuild TrackEye Installation Instructions Extract TrackEye_Executable.zip file. Settings to be Done to Perform a Good Tracking Settings for Face & Eye Detection Settings for Snake History
Free Eye Tracker API for Eye Tracking Integration The S2 Eye Tracker supports an open standard eye-gaze interface. The interface uses TCP/IP for data communication and XML for data structures. Our vision is to see this API adopted by many eye tracker developers, providing application developers a standardized interface to eye gaze hardware. For now this easy to use and free eye tracker API provides a simple way to interface with the S2 Eye Tracker. The S2 Eye Tracker API requires no software download whatsoever. The free eye tracker API is available to existing customers. Download: Open Eye-gaze API Version 1.0 The S2 Eye Tracker API is extremely flexible. Currently, we have example source code for C, C++/MFC, C++/CLI, C#, Python and MATLAB. The S2 Eye Tracker (and its older S1 predecessor) smoothly works with MATLAB.
Cost effective Webcam eye tracking surveys | EyeTrackShop ITU Gaze Tracker The ITU Gaze Tracker is an open-source eye tracker that aims to provide a low-cost alternative to commercial gaze tracking systems and to make this technology more accessible. It is developed by the Gaze Group at the IT University of Copenhagen and other contributors from the community, with the support of the Communication by Gaze Interaction Association (COGAIN). The eye tracking software is video-based, and any camera equipped with infrared nightvision can be used, such as a videocamera or a webcam. The cameras that have been tested with the system can be found in our forum. We encourage users and developers to test our software with their cameras and provide feedback so we can continue development. The ITU Gaze Tracker is hosted in SourceForge. In order to run the software, uncompress the zip file and double click on GazeTrackerUI.exe. The user's guide to run and configure the ITU Gaze Tracker can be downloaded from here (PDF document) The requirements to run the ITU Gaze Tracker are:
actionscript 3 - Flash library for eyes tracking Inexpensive or Free Head & Eye Tracking Inexpensive or Free Head & Eye Tracking Software For individuals that have lost the ability to use a standard mouse to control their computer, there are several low cost or no cost alternatives. It seems these methods work best when the target areas (the spots where you click) are larger, requiring less precise movements. To move the mouse around the screen without using your hands, you need to have software and a tracking device. Head tracking software to move the mouse around the screen:
Grinbath | Innovative Eye Tracking and Control Solutions The Guild of Accessible Web Designers (GAWDS) play.blog2t.net » Realtime Terminator Salvation "Machine Vision" fx Have you seen Terminator Salvation yet? There's a bunch of cool visual effects developed by Imaginary Forces, it shows the world as seen by machines. There's a lot of object tracking going on there, I was thinking whether I could recreate the whole thing just in pure AS3. And, well, here's the result (which I am actually very proud of) ;-) Click image to activate, wait for the video to buffer (1.6MB) press EDIT button to play with the filters (in full screen mode). Enable your webcam (if you have one) and play about with sliders and checkboxes – try if your face can be tracked too – but then watch for evil Terminators – they'll come and get you! This is a part of the whole video filter framework I am developing just now, the inspiration came from Joa Ebert's Image Processing library (as far as I know, he's cooking a complete rewrite). My approach is to make everything as much simple as I can. The face tracking is actually relatively simple, I will briefly describe each step:
Why facial recognition failed It’s a staple of TV dramas — the photograph of a suspect is plugged into a law enforcement database, and a few minutes later: presto! We have a match! Facial recognition for the win! Except the magic didn’t work in the case of the Boston bombers, according to the Boston law enforcement authorities. The surveillance society did a face plant. What happened? Acquisti explained to Salon what he thinks might be happening on Monday morning. The Boston police commissioner says that facial recognition software did not help identify the Boston bombing suspects, despite the fact that their images were included in public records databases such as the DMV. There are three or four potential hurdles that all types of facial recognition software face when we try to apply them in real time on a mass scale. The first is image quality. The second hurdle is the availability of the fine facial data on the identified faces that you already have in your existing databases. What’s going to change?
SensoMotoric Instruments GmbH > Gaze and Eye Tracking Systems > Home Founded in 1991, SMI is a world leader in dedicated computer vision applications. Working closely with our clients, we have more than 20 years' experience in developing and marketing application-specific gaze & eye tracking systems. Our eye trackers and software products combine a maximum of performance and usability with the highest possible quality, resulting in high-value solutions for our customers. More than 6,000 of our eye tracker systems in operation worldwide are testimony to our continuing success in providing innovative products and outstanding services. Applications We at SMI provide the latest eye tracking solutions and support for almost every field of application. Researchers or clinicians in the neurosciences use eye tracking to help analyze how we process visual information, and to develop novel and better methods of diagnosis in the field of neuro-degenerative diseases. Eye Tracking Products Services & Support
Craig Cecil--Tools to Check Your Web Site against Section 508, WCAG 1.0, WCAG 2.0 Use these tools to quickly check the pages of your site for valid markup, accessibility, usability, browser compatibility, spell checking, etc. You may also want to review the Top Ten Web Design Mistakes and check out the Sherlock tool. Xenocode Browser Sandbox Test your site in the most popular browsers, running directly from the web. Total Validator An all-in-one validator comprising a HTML validator, an accessibility validator, a spelling validator, a broken links validator, and the ability to take screenshots with different browsers to see what your web pages look like. Electrum SortSite Scans the first 10 pages of a web site, testing for quality checkpoints, including accessibility, browser compatibility, broken links, and standards compliance. UITest.com Comprehensive launch pad for checking your page with over 20 tests, including validation, accessibility, performance, spelling, links, etc. ZDNet's NetMechanic Toolbox Truwex Online Tool Web Page Performance & Speed Analyzer W3C Link Checker
AS3 Webcam Motion Tracking › Detecting and Tracking an Objects Movement in Flash Update Ok, you can now grab the MotionTracker source code (AS2 & AS3). Version 2 eventually will include the other methods for detecting and tracking motion which I mentioned. For now I have just included code for the technique used in the demo. Download: AS3 Webcam Motion Tracking For those of you without access to a webcam (and as an example of a practical use for this class) here is a short video demonstrating the program I wrote for the installation piece. End of update Webcam required to view the demo (obviously…) I’m currently working on putting up a show, part of which will be a live generative piece, constructed from the movement of visitors in the gallery space. Anyway; I researched the concept of motion tracking, and made some notes on my own ideas. One of the most attractive ideas was to divide the screen into a grid, and average the colours within each segment at regular intervals. Here’s how it works So that takes care of the motion detection, but what about the tracking?