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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositorysid.inpe.br/mtc-m18@80/2008/07.16.12.31   (restricted access)
Last Update2008:07.16.12.33.23 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m18@80/2008/07.16.12.31.19
Metadata Last Update2021:02.03.17.56.35 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeyGarciaArau:2008:ViMuTr
TitleVisual Multi-Target Tracking by using Modified Kohonen Neural Networks/Rastreamento Visual de Multiplos Alvos pelo uso da Rede Neural Kohonen Modificada
Year2008
Access Date2024, Apr. 28
Secondary TypePRE CI
Number of Files1
Size202 KiB
2. Context
Author1 Garcia, F.
2 Araujo, José Ernesto de
Group1
2 LIT-LIT-INPE-MCT-BR
Affiliation1
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Conference NameEEE World Congress on Computational Intelligence (WCCI 2008) / International Joint Conference on Neural Networks (IJCNN)
Conference LocationHong Kong
Date1-6 June 2008
Book TitleProceedings
History (UTC)2008-07-16 12:36:57 :: marciana -> administrator ::
2021-02-03 17:56:35 :: administrator -> marciana :: 2008
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
AbstractA visual target tracking identification by employing using a Winner-takes-all artificial neural network is proposed in this paper. In this approach a modified Kohonen Neural Network is the mechanism used both to determine the position as to represent the target trajectory given a sequence of images. Some of the advantages employing this technique is that the initial condition are supplied randomly and that the performance of the algorithm is independent of the initial condition as well as of the number of them. Besides, this algorithm converge for the center of mass of the target. This methodology is useful in remote and local systems when information is given by images be it related to aerospace applications, robotics, radar systems, or industrial applications. The proposed algorithm is here used in the identification of airplane trajectory by using digital images. Resumo: Uma identificacao visual de rastreamento de alvos moveis usando uma rede neural artificial do tipo "o vencedor-leva-tudo" é proposta neste artigo. Nesta abordagem uma rede neural Kohonen modificada é o mecanismo usado tanto para determinar a posicao quanto para representar a trajetoria do alvo dado uma sequencia de imagens. Algumas das vantagens de se empregar esta tecnicaq é que as condicoes iniciais sao fornecidas aleatoriamente e que o desempenho do algoritmo é independente das condicoes iniciais assim como do numero delas. Adicionalmente este algoritmo converge para o centro de massa do alvo. Esta metodologia é util em sistemas locais e remotos quando a informacao é dada por imagens, seja ela relacionada com aplicacoes espaciais, robotica, sistemas de radar, ou aplicacoes industriais. O algoritmo proposto é aqui usado na identificacao de trajetoria de aeronaves pelo uso de imagens digitais.
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4. Conditions of access and use
Languageen
Target FileGarcia-Araujo_IJCNN-IEEE-08_KNN-Target_pdf.pdf
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5. Allied materials
Next Higher Units8JMKD3MGPCW/444BQ9E
Host Collectionsid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notes
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