Search Results for "object tracking"

A multimedia authoring and processing framework and a video playout server for television broadcasting.

See the Files tab above for installation instructions

OFX extension for interactive stereo projection mapping (3D Workbench)

TracTrac is a Particle Tracking Velocimetry (PTV) software which is extremely fast (more than 10k points tracked per second, 100k under python) and accurate (up to 0.01 pixel resolution), forming thus a good concurrent to the state-of-the art PIV/PTV algorithms. It allows to track anything that moves: birds, ants, grains, water flows... It runs on Python (v2&3) or Matlab (>2012a with Image Processing toolbox). Give it a try ! Get the last sources on GitHub:...

The WebXR Gamepads Module is for accessing the state of buttons, triggers, thumbsticks, and touchpads associated with virtual reality (VR) and augmented reality (AR) motion controllers on the Web. This specification is a product of the Immersive Web Working Group. This specification module describes support for accessing button, trigger, thumbstick, and touchpad data associated with virtual reality (VR) and augmented reality (AR) devices on the Web. Hardware that enables Virtual Reality (VR)...

Scene is a computer vision framework that performs background subtraction and object tracking, using two traditional algorithms and three more recent algorithms based on neural networks and fuzzy classification rules. For each detected object, Scene sends TUIO messages to one or several client applications. The present release features GPU accelerated versions of all the background subtraction methods and morphological post processing of the object blobs with dilation and erosion filters, implemented in OpenCL. ...

MoTrack is a graphical user interface for Matlab. It can be used to track the 2D motion of any object in digital videos. In manual mode the object coordinates are captured by mouse clicking on the objects position in each video frame. Automatic motion tracking is possible using reflective markers or any kind of markers that have high contrast to the surroundings.

Includes a framework and various methods of motion detection, enhancement, object tracking.

The Mimas Toolkit is a C++ real-time computer vision library. Algorithms include edge/corner-detection, object recognition/tracking, LSI-filters, segmentation, array-operators, convolution etc. OO wrappers for LAPACK, libxine, V4L, FFTW are provided.