AACI: Automatic acquisition and tracking of mobile target in image sequences

Automatic acquisition and tracking of mobile target in image sequences

Target users and customers

The targeted users and customers are the multimedia industry actors, and all academic or industrial laboratories interested in object tracking in videos.

Application sectors

Target tracking
Video analysis
Multimedia document processing

Description:

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 [1].

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 [2].

[1] J.-M. Odobez and P. Bouthemy, Separation of moving regions from background in an image sequence acquired with a mobile camera

[2] 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

Technical requirements:

SPC with Unix/Linux
This software requires the Motion2D [1] software developed by Inria, and OpenCV [2] developed by Intel, as third party libraries.

[1] http://www.irisa.fr/vista/Motion2D/index.html
[2] http://opencv.willowgarage.com/wiki/

Conditions for access and use:

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.