%0 Journal Article
%T On Tracking Inside Groups
%A Dani Rowe
%A Jordi Gonzalez
%A Marco Pedersoli
%A Juan J. Villanueva
%J Machine Vision and Applications
%D 2010
%V 21
%N 2
%I Springer-Verlag
%@ 0932-8092
%F Dani Rowe2010
%O ISE
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1158), last updated on Wed, 05 Mar 2014 12:46:04 +0100
%X This work develops a new architecture for multiple-target tracking in unconstrained dynamic scenes, which consists of a detection level which feeds a two-stage tracking system. A remarkable characteristic of the system is its ability to track several targets while they group and split, without using 3D information. Thus, special attention is given to the feature-selection and appearance-computation modules, and to those modules involved in tracking through groups. The system aims to work as a stand-alone application in complex and dynamic scenarios. No a-priori knowledge about either the scene or the targets, based on a previous training period, is used. Hence, the scenario is completely unknown beforehand. Successful tracking has been demonstrated in well-known databases of both indoor and outdoor scenarios. Accurate and robust localisations have been yielded during long-term target merging and occlusions.
%U http://refbase.cvc.uab.es/files/RGP2010.pdf
%U http://dx.doi.org/10.1007/s00138-009-0194-y
%P 113–127