Automatic acquisition and tracking of mobile target in image sequences
The targeted users and customers are the multimedia industry actors, and all academic or industrial laboratories interested in object tracking in videos.
AACI is structured in 4 steps. First of all, dominant motion estimation is performed using Motion2D software. Then each pixel of current frame is labeled either as “conform to dominant motion” or “non-conform to dominant motion” by minimum-cut/maximumflow minimization of a cost function, described in .
Then each detection is added to a Trellis, and is validated if it is persistent in size and position for a short period of time (the Trellis depth) or discarded otherwise. Finally, each validated detection is tracked using Mean-shift algorithm, as explain in .
 J.-M. Odobez and P. Bouthemy, Separation of moving regions from background in an image sequence acquired with a mobile camera
 D. Comaniciu, V. Ramesh, P. Meer, Kernel Based Object Tracking
AACI was jointly developed by the Vista team at Irisa/INRIA Rennes, BERTIN Technologies, and by
DGA (Direction Générale de l’Armement).
The AACI authors are: Florent Dutrech, Patrick Perez
AACI is a software that has been developed at Irisa/Inria-Rennes and is the property of Inria.
AACI can be supplied under license on a case-by-case basis.