using the kalman filter for predictive-corrective tracking http://www.cs.unc.edu/~welch/kalman/ see http://www.cs.unc.edu/~tracker for notes on the UNC tracker project, for 6d pose estimation.
star*track system http://www.polhemus.com/ourprod.htm
ISMAR “Parallel tracking and mapping” » http://www.robots.ox.ac.uk/~gk/
soft-VNS system, runs within MAX/MSP on macOS → http://www.interlog.com/~drokeby/softVNS.html
Intel's computer vision library is aimed mainly at real time computer vision. Some example areas would be Human-Computer Interaction (HCI); Object Identification, Segmentation and Recognition; Face Recognition; Gesture Recognition; Motion Tracking, Ego Motion, Motion Understanding; Structure From Motion (SFM); and Mobile Robotics.
_ download http://sourceforge.net/projects/opencvlibrary/ or http://www.intel.com/research/mrl/research/opencv/
_ a paper on using the system http://www.eecs.lehigh.edu/FRAME/Davis/DavisBradski.htm
Xvision “provides an application independent set of tools for visual feature tracking optimized to be simple to configure at the user level, yet extremely fast to execute.” developed for comodity hardware and available software, requires xwindows → http://www.cs.jhu.edu/CIRL/html/xvision.html
Touch sensitive dance floor – interesting hardware solution, made for MIDI dance performances → http://www.utexas.edu/cofa/music/ems/research/midifloor/midifloor.html They use Force Sensing Resistors (FSRs) from Interlink Corporation → http://www.interlinkelectronics.com/