a toolkit for tangible multi-touch surfaces
reacTIVision is an open source, cross-platform computer vision framework for the fast and robust tracking of fiducial markers attached onto physical objects, as well as for multi-touch finger tracking. It was mainly designed as a toolkit for the rapid development of table-based tangible user interfaces (TUI) and multi-touch interactive surfaces. This framework has been developed by Martin Kaltenbrunner and Ross Bencina as the underlying sensor component of the Reactable, a tangible modular synthesizer that has set the standards for tangible multi-touch applications.
please note: reacTIVision is only the computer vision framework of the Reactable synthesizer. This open source package does therefore not contain any sound or visualization software components, which are also not available separately at the moment. If you are interested in purchasing a Reactable you can find further information on its product page.
reacTIVision is a standalone application, which sends TUIO messages via UDP port 3333 to any TUIO enabled client application. The TUIO protocol was initially designed within this project for encoding the state of tangible objects and multi-touch events from an interactive table surface. This framework also includes a set of free TUIO client examples for various programming languages, which serve as the basis for the development of tangible user interface applications. As an alternative to TUIO, the application is also capabable of sending MIDI messages for the direct use with MIDI sequencers.
The reacTIVision application currently runs under the following operating systems: Windows, Mac OS X and Linux. Under Windows it supports any camera with a proper WDM driver, such as most USB, FireWire and DV cameras. Under Mac OS X most UVC compliant USB as well as Firewire cameras should work. Under Linux FireWire cameras are as well supported as many Video4Linux2 compliant USB cameras.
NEW!: reacTIVision 1.5 provides improved camera support and configuration on all platforms, as well as some internal tweaks which should improve the overall performance. This includes a multithreaded thresholder, an accelerated background subtractor as well as a quicker and less tedious calibration procedure. This release also supports MJPEG decompression for higher UVC camera frame rates.
reacTIVision vision engine
reacTIVision TUIO clients
public source repository
All reacTIVision source files are now hosted on Github. If you are interested in contributing to the development you are welcome to sumbmit your improvements there.
third party TUIO software
You can find a growing list of further TUIO client implementations as well as other TUIO enabled multi-touch or fiducial trackers at the new software page over at TUIO.org
reacTIVision and the TUIO client examples are free software licensed under the GPL license. This means that you can freely use this software for any private, academic or even commercial purpose, provided that you are willing to disclose the source code of your derived work upon request. We also provide commercial SDK licenses for those who prefer to develop a closed source project based on our software. Please get in touch if you choose to acquire a commercial license of the reacTIVisision framework.
The provided amoeba fiducial sets are bound to be used in conjunction with the reacTIVision software only. Any other use of these symbols, for example in third party applications or in graphic design is not permitted without purchasing a dedicated license!
If you have any questions regarding the usage of the reacTIVision framework in general and the TUIO clients please read and post to our reacTIVision user forum hosted on sourceforge.net. If you want to submit a patch to the general code base please get in touch with Martin Kaltenbrunner. In case you are looking for extended support regarding the construction of an interactive table platform, you should consider the professional services provided by Reactable Systems.
Several papers have been published that describe the internal structure of reacTIVision and libfidtrack in great detail. In a nutshell the system works like this: reacTIVision tracks specially designed fiducial markers in a real time video stream. The source image frame is first converted to a black&white image with an adaptive thresholding algorithm. Then this image is segmented into a tree of alternating black and white regions (region adjacency graph). This graph is then searched for unique left heavy depth sequences, which have been encoded into the fiducial symbol. Finally the found tree sequences are matched to a dictionary to retrieve an unique ID number. The fiducial design allows the efficient calculation of the marker's center point as well as its orientation. OSC messages implementing the TUIO protocol encode the fiducials' presence, location, orientation and identity and transmit this data to the client applications.
Additionally reacTIVision uses the result of the image segmentation in order to retrieve and identify small round white blobs as finger tips on the surface. A quick and dirty shape matching algorithm selects the actual finger blobs from the possible region candidates. A complementary blob tracking algorithm is also taking advantage of the same data in order to track eventually not recognized fiducials, for example where fast movements destroy the actual fiducial structure in the image.
table & surface
A camera and a projector with wide-angle lenses need to be placed underneath the table, so they can both cover the entire surface. Alternatively a mirror can be used in order to achieve a larger projection distance. For the interactive surface itself a normal perspex board can be used in conjunction with some ordinary tracing paper on the top side for the projection. This material is completely transparent for objects and finger tips in direct contact with the surface. In order to avoid direct reflections of the light source and projector lamp, the lower side of the surface should have a matte finish, while maintaing the overall transparency.
For the tracking, the objects need to be properly illuminated, so the camera and
thus the computer vision application can see them correctly. For the projection onto a table,
the surface needs to be dark though, so the user can see the projected image well enough.
Since these two necessary steps logically exclude each other, the solution is to operate in two different spectra:
The projection has to be visible to the user, so the computer vision component needs to operate in a different, invisible spectrum such as near infrared in the range of 850nm. Most CCD cameras are perfectly sensitive within the near IR spectrum, therefore infrared LED lamps can be used to illuminate the table. All light from the visible spectrum needs to be filtered in the camera, so the computer vision algorithm is not disturbed by the projection. Eventually an existing infrared blocker needs to be removed from the camera sensor.
You should make sure that the camera has an acceptable lens and sensor size. For lowest latency and best performance we recommend firewire cameras from the top range, such as industrial cameras with a high framerate, resolution and sensor size. These cameras usually also come with high quality C-mount lenses. Cheaper firewire cameras, such as the unibrain fire-i also allow optional wide-angle lenses. From the large range of available USB cameras we recommend to use high end models with a native resolution of at least 640x480 at a frame rate of 30Hz. A very affordable and relatively good camera for this purpose is the Sony PS3eye, which is also working well under Windows, Linux and Mac OSX. DV cameras supporting full-frame mode are suitable, while those with interlaced mode only, will not work at all.
This application was designed to track specially designed fiducial markers. You will find the default "amoeba" set of 216 fiducials in the document "default.pdf" within the symbols folder. Print this document and attach the labels to any object you want to track. The default fiducial tracking engine is based on the included fidtrack library, which also provides an alternative "classic" fiducial set, which are a reimplementation of Enrico Costanza's d-touch concept. See below how to configure the application to use these symbol sets.
Since reacTIVision was initially designed for fiducial tracking, its thresholder and segmentation modules are optimized for this task. Finger tracking was added at a later stage, and is taking advantage of the existing image processing infrastructure with almost no additional performance overhead. On the other hand it may seem difficult to set up reacTIVision in order to achieve good tracking performance for both the fiducial symbols and the finger tips. When used with diffuse illumination, the setup needs strong and even illumination in order to achieve the necessary contrast for finger tracking, also the overall image control such as brightness, gain and shutter speed will improve the tracking quality (O key). Another important control parameter is the threshold "gradient gate" which should be set as low as possible, just before too much image noise becomes visible (G key). Finally the finger tracking can be configured by adjusting the average finger size and tracking sensitivity (F key).
Common settings can be edited within the file "reacTIVision.xml" where all changes are stored automatically when closing the application. Under Mac OS X the XML configuration file can be found within the application bundle's Resources folder. Select "Show Package Contents" from the application's context menu in order to access and edit the file.
The reacTIVision application usually sends the TUIO messages to port 3333 on locahost (127.0.0.1) You can change this setting by adding or editing the XML tag <tuio host="127.0.0.1" port="3333"> to the configuration.
The <fiducial engine="amoeba" tree="default"/> XML tag lets you select the fiducial engine or an alternative amoeba tree order. The default engine is using the fastest and effective 'amoeba' fiducial set. Add the 'classic' option in order to use the dtouch reimplementation from libfidtrack.
The display attribute defines the default screen upon startup. The <image display="dest" equalize="false" gradient="32" /> lets you adjust the default gradient gate value. reacTIVision comes with a background subtraction module, which in some cases can simplify the recognition performance of both the finger and fiducial tracking. Within the running application you can toggle this with the 'E' key or recalculate the background subtraction by hitting the SPACE bar.
The camera options can be adjusted by pressing the 'O' key.
On Windows and Mac OS this will show a system dialog that allows
the adjustment of the available camera parameters. On Linux (Mac OS X
when using IEEE1394 cameras), the available camera settings can be
adjusted with a simple on screen display.
The overall camera and image settings can be configured within the "camera.xml" configuration file. On Mac OS X this file is as well located in the Resources folder within the application bundle. You can select the camera ID and specify its dimension and framerate, as well as the most relevant image adjustments. Optionally you can also crop the raw camera frames to reduce the final image size. Please see the example options in the file for further information.
You can list all available cameras with the "-l" startup option.
TUIO vs. MIDI
The application can alternatively send MIDI messages, which allows to map any object dimension (xpos, ypos, angle) to a MIDI control via an XML configuration file. Adding and removing objects can be mapped to simple note ON/OFF events. Keep in mind though that MIDI has less bandwidth and data resolution compared to Open Sound Contol, so the MIDI feature is meant as an convenient alternative in some cases, but TUIO still will be the primary messaging layer.
Adding <midi config="midi/demo.xml"/> to reacTIVision.xml switches to MIDI mode and specifies the MIDI configuration file that contains the mappings and MIDI device selection. An example configuration file "demo.xml" along with an example PD patch "demo.pd" can be found in the "midi" folder. You can list all available MIDI devices with the "-l midi" option.
Calibration and Distortion
Some tables, such as the reacTable are using wide-angle or fish-eye lens in order to increase the area visible to the camera at a minimal distance. These lenses unfortunately distort the image and reacTIVision can correct that distortion and the overall alignment of the image. For the calibration print and place one of these rectangular or square calibration sheets on the table and adjust the grid points to the grid printed on the sheet.
To calibrate reacTIVision switch to calibration mode hitting 'C'.
Use the keys
A,D,W,X to move within grid, moving with the cursor keys will adjust the grid point.
'J' resets the whole calibration grid, 'U' resets the selected point and 'K' reverts to the saved grid.
To check if the distortion is working properly press 'R'. This will show the fully distorted live video image in the target window. Of course the distortion algorithm only corrects the found positions instead of the full image.
The reacTIVision source archive comes with IDE projects for all three supported operating systems. For Windows a Visual Studio 2005 project is provided, for Mac OS X there is an XCode 2.4 project included and for Linux a simple Makefile does the job. Compilation on Windows does not require the installation of any additional libraries, while the MacOS X and Linux port depend on an installed SDL development library. The Linux port additionally needs libdc1394-2.0 or later for the firewire camera support.