Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2007: administrator
Metadata Last Update2020: administrator
Citation KeyGonçalvesMoSiMaOdPi:2007:MuMiTr
TitleMultiple mice tracking using a combination of Particle Filter and K-Means
FormatPrinted, On-line.
DateOct. 7-10, 2007
Access Date2021, Jan. 16
Number of Files1
Size567 KiB
Context area
Author1 Gonçalves, Wesley Nunes
2 Monteiro, João Bosco Oliveira
3 Silva, Jonathan de Andrade
4 Machado, Bruno Brandoli
5 Odakura, Valguima
6 Pistori, Hemerson
Affiliation1 Dom Bosco Catholic University
2 Dom Bosco Catholic University
3 Dom Bosco Catholic University
4 Dom Bosco Catholic University
5 TecSinapse - Tecnologia da Informação Ltda
6 Dom Bosco Catholic University
EditorFalcão, Alexandre Xavier
Lopes, Hélio Côrtes Vieira
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2007-07-31 21:17:11 :: -> administrator ::
2007-08-02 21:17:41 :: administrator -> ::
2008-07-17 14:09:43 :: -> administrator ::
2009-08-13 20:38:27 :: administrator -> banon ::
2010-08-28 20:02:29 :: banon -> administrator ::
2020-02-19 03:06:19 :: administrator -> :: 2007
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
KeywordsParticle filter, mice, k-means, tracking.
AbstractThis 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.
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Target Filegoncalvesw-tracking.pdf
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