%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi@80/2007/07.31.21.17
%2 sid.inpe.br/sibgrapi@80/2007/07.31.21.17.11
%@doi 10.1109/SIBGRAPI.2007.39
%T Multiple mice tracking using a combination of Particle Filter and K-Means
%D 2007
%A Gonçalves, Wesley Nunes,
%A Monteiro, João Bosco Oliveira,
%A Silva, Jonathan de Andrade,
%A Machado, Bruno Brandoli,
%A Odakura, Valguima,
%A Pistori, Hemerson,
%@affiliation Dom Bosco Catholic University
%@affiliation Dom Bosco Catholic University
%@affiliation Dom Bosco Catholic University
%@affiliation Dom Bosco Catholic University
%@affiliation TecSinapse - Tecnologia da Informação Ltda
%@affiliation Dom Bosco Catholic University
%E Falcão, Alexandre Xavier,
%E Lopes, Hélio Côrtes Vieira,
%B Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
%C Belo Horizonte, MG, Brazil
%8 7-10 Oct. 2007
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%K Particle filter, mice, k-means, tracking.
%X This paper presents a new approach to multiple objects tracking that combines particle filters and k-means. The approach has been tested under an important real world situation, related to pharmacological development, which has also proved to serve as an interesting ground-truth dataset provider for the evaluation of tracking algorithms. The obtained results are then compared to other models. The promising results of these experiments are presented.
%@language en
%3 goncalvesw-tracking.pdf