reacTIVision 1.3
reacTIVision is an useful open source, cross-platform computer vision framework for the robust and fast tracking of fiducial markers in a real-time video stream.
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reacTIVision is an useful open source, cross-platform computer vision framework for the robust and fast tracking of fiducial markers in a real-time video stream. It was mainly designed as a toolkit for the rapid development of table-based tangible user interfaces (TUI).
Its tracking core is using Ross Bencina's fidtrack library which is basically a newer high-performance implementation of Enrico Costanza's original d-touch concept. This framework was developed by Martin Kaltenbrunner et.al. at the Music Technology Group, IUA, UPF in Barcelona, Spain as part of the reacTable* project, a novel electro-acoustic musical instrument with a tangible user interface.
reacTIVision is a standalone application, which sends OpenSound Control messages via a UDP network socket to any connected client application. It implements the TUIO protocol, which was specially designed for transmitting the state of tangible objects on a table surface. This framework includes a set of free example client projects for various programming languages, which serve as a base for the easy development of tangible-user interface applications.
The reacTIVision application compiles and runs under the follwing operating systems: Win32, MacOS X and Linux. Under Win32 it suports any camera with a proper WDM driver, such as USB, USB2, FireWire and DV cameras. Equally under MacOS X any such camera supported by QuickTime will work in reacTIVision. Under Linux, FireWire cameras are best supported, as well as a few Video4Linux USB cameras. If you are interested in this video acquisition software, the PortVideo framework is available as a separate component.
Requirements
tags for the tangible user user interface this framework
Download reacTIVision 1.3
Authors software
reacTIVision 1.3
Music Technology Group
reacTIVision is an useful open source, cross-platform computer vision framework for the robust and fast tracking of fiducial markers in a real-time video stream.
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