Qualisys Video Analysis is an analysis tool used to manage and report video data. Together with a Qualisys high speed video system, QVA provides an advanced and affordable solution for biomechanical motion analysis.
Efficient video analysis
The high speed video image can now be evaluated both visually – by watching the sequence in slow-motion – as well as analytically, by means of QVA.
Input Data
QVA’s standard input files are digital image sequences. A large number of digital formats can be read directly during tracking: AVI, TIFF, BMP, JPEG, MPEG2 and many others. QVA imports several different standard data formats like tsv and ASCII. The imported data is available for all parts of the program and can be used in calculations, graphs and tables.
Tracking
QVA uses an optimal method for tracking each frame by using fixed cameras. The basic tracking function operates in two dimensions and produces 2D pixel coordinates for each tracked target in each image. The tracking can be performed in a number of different modes: “Manual”, “Semi Automatic” or “Automatic”.
In the automatic mode, the operator sets a tracker tolerance specifying how much variation in the target features that should be tolerated. As requirements for tracking a defined target are often user-specific, there are a number of different tracking algorithms available: Correlation, Quadrant, Circular, Center of gravity and Virtual points.
Presentation
One of the great advantages using the QVA system, is the possibility to present data and results in customized graphs and tables. It is easy to add comments, special graphics as well as to customize the appearance of a certain view.
The main tools for presentations are 2D diagrams, diagrams in which data can be plotted against time or other values. All data, whether tracking data, or data inputted separately, can be plotted in single or multi axis X/T or Y/X plots with numerous options to customize.
Bottle shot with air rifle. The shot is captured with an Oqus camera in 5000 fps.
High speed video of ball catch. Shot in 2000 fps with an Oqus camera.