A refined particle filter based on determined level set model for robust contour tracking : Contextual vision computing
- Author
- XIN SUN1 ; HONGXUN YAO1
[1] Harbin Institute of Technology, 92 West Dazhi Street, Harbin 150001, China - Source
Machine vision and applications. 2014, Vol 25, Num 7, pp 1727-1736, 10 p ; ref : 39 ref
- CODEN
- MVAPEO
- ISSN
- 0932-8092
- Scientific domain
- Control theory, operational research; Computer science
- Publisher
- Springer, Heidelberg
- Publication country
- Germany
- Document type
- Article
- Language
- English
- Author keyword
- Active contour Dynamic scenes Level set Particle filter Tracking
- Keyword (fr)
- Analyse scène Contour actif Courbe niveau Détection contour Efficacité Filtre particule Fonction énergie Forme complexe Forme géométrique Mise à jour Modélisation Méthode particulaire Pistage Séquence image Vision ordinateur Segmentation image
- Keyword (en)
- Scene analysis Active contour Contour line Edge detection Efficiency Particle filter Energy function Complex shape Geometrical shape Updating Modeling Particle method Tracking Image sequence Computer vision Image segmentation
- Keyword (es)
- Análisis escena Contorno activo Curva nivel Detección contorno Eficacia Filtro partículas Función energía Forma compleja Forma geométrica Actualización Modelización Método partícula Rastreo Secuencia imagen Visión ordenador Segmentación de imágenes
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C03 Pattern recognition. Digital image processing. Computational geometry
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28800512
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Access to the document
Install on your browser
DOI
10.1007/s00138-013-0553-6 
https://dx.doi.org/10.1007/s00138-013-0553-6
"O:13:\"PanistOpenUrl\":36:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000idc\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:25:\"10.1007\/s00138-013-0553-6\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:119:\"A refined particle filter based on determined level set model for robust contour tracking : Contextual vision computing\";s:9:\"\u0000*\u0000jtitle\";s:31:\"Machine vision and applications\";s:9:\"\u0000*\u0000stitle\";s:15:\"Mach. vis. appl\";s:7:\"\u0000*\u0000date\";s:4:\"2014\";s:9:\"\u0000*\u0000volume\";s:2:\"25\";s:8:\"\u0000*\u0000issue\";s:1:\"7\";s:8:\"\u0000*\u0000spage\";s:4:\"1727\";s:8:\"\u0000*\u0000epage\";s:4:\"1736\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0932-8092\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:7:\"XIN SUN\";s:10:\"\u0000*\u0000aufirst\";s:0:\"\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:1:{i:0;s:11:\"HONGXUN YAO\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"MVAPEO\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:119:\"A refined particle filter based on determined level set model for robust contour tracking : Contextual vision computing\";s:8:\"\u0000*\u0000place\";s:10:\"Heidelberg\";s:6:\"\u0000*\u0000pub\";s:8:\"Springer\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"10\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Panist access
"O:12:\"IstexOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:25:\"10.1007\/s00138-013-0553-6\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:119:\"A refined particle filter based on determined level set model for robust contour tracking : Contextual vision computing\";s:9:\"\u0000*\u0000jtitle\";s:31:\"Machine vision and applications\";s:9:\"\u0000*\u0000stitle\";s:15:\"Mach. vis. appl\";s:7:\"\u0000*\u0000date\";s:4:\"2014\";s:9:\"\u0000*\u0000volume\";s:2:\"25\";s:8:\"\u0000*\u0000issue\";s:1:\"7\";s:8:\"\u0000*\u0000spage\";s:4:\"1727\";s:8:\"\u0000*\u0000epage\";s:4:\"1736\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0932-8092\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:7:\"XIN SUN\";s:10:\"\u0000*\u0000aufirst\";s:0:\"\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:1:{i:0;s:11:\"HONGXUN YAO\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"MVAPEO\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:119:\"A refined particle filter based on determined level set model for robust contour tracking : Contextual vision computing\";s:8:\"\u0000*\u0000place\";s:10:\"Heidelberg\";s:6:\"\u0000*\u0000pub\";s:8:\"Springer\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"10\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Istex access
"O:16:\"UnpaywallOpenUrl\":35:{s:8:\"\u0000*\u0000email\";s:27:\"assistance-portail@inist.fr\";s:6:\"\u0000*\u0000fmt\";N;s:6:\"\u0000*\u0000doi\";s:25:\"10.1007\/s00138-013-0553-6\";s:6:\"\u0000*\u0000pii\";N;s:7:\"\u0000*\u0000pmid\";N;s:9:\"\u0000*\u0000atitle\";N;s:9:\"\u0000*\u0000jtitle\";N;s:9:\"\u0000*\u0000stitle\";N;s:7:\"\u0000*\u0000date\";N;s:9:\"\u0000*\u0000volume\";N;s:8:\"\u0000*\u0000issue\";N;s:8:\"\u0000*\u0000spage\";N;s:8:\"\u0000*\u0000epage\";N;s:8:\"\u0000*\u0000pages\";N;s:7:\"\u0000*\u0000issn\";N;s:8:\"\u0000*\u0000eissn\";N;s:9:\"\u0000*\u0000aulast\";N;s:10:\"\u0000*\u0000aufirst\";N;s:9:\"\u0000*\u0000auinit\";N;s:10:\"\u0000*\u0000auinitm\";N;s:5:\"\u0000*\u0000au\";N;s:9:\"\u0000*\u0000aucorp\";N;s:7:\"\u0000*\u0000isbn\";N;s:8:\"\u0000*\u0000coden\";N;s:8:\"\u0000*\u0000genre\";N;s:7:\"\u0000*\u0000part\";N;s:9:\"\u0000*\u0000btitle\";N;s:8:\"\u0000*\u0000title\";N;s:8:\"\u0000*\u0000place\";N;s:6:\"\u0000*\u0000pub\";N;s:10:\"\u0000*\u0000edition\";N;s:9:\"\u0000*\u0000tpages\";N;s:9:\"\u0000*\u0000series\";N;s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";N;}"
Unpaywall access
"O:16:\"EuropePMCOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:25:\"10.1007\/s00138-013-0553-6\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:119:\"A refined particle filter based on determined level set model for robust contour tracking : Contextual vision computing\";s:9:\"\u0000*\u0000jtitle\";s:31:\"Machine vision and applications\";s:9:\"\u0000*\u0000stitle\";s:15:\"Mach. vis. appl\";s:7:\"\u0000*\u0000date\";s:4:\"2014\";s:9:\"\u0000*\u0000volume\";s:2:\"25\";s:8:\"\u0000*\u0000issue\";s:1:\"7\";s:8:\"\u0000*\u0000spage\";s:4:\"1727\";s:8:\"\u0000*\u0000epage\";s:4:\"1736\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0932-8092\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:7:\"XIN SUN\";s:10:\"\u0000*\u0000aufirst\";s:0:\"\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:1:{i:0;s:11:\"HONGXUN YAO\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"MVAPEO\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:119:\"A refined particle filter based on determined level set model for robust contour tracking : Contextual vision computing\";s:8:\"\u0000*\u0000place\";s:10:\"Heidelberg\";s:6:\"\u0000*\u0000pub\";s:8:\"Springer\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"10\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Europe PubMed Central access
"O:11:\"BaseOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:25:\"10.1007\/s00138-013-0553-6\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:119:\"A refined particle filter based on determined level set model for robust contour tracking : Contextual vision computing\";s:9:\"\u0000*\u0000jtitle\";s:31:\"Machine vision and applications\";s:9:\"\u0000*\u0000stitle\";s:15:\"Mach. vis. appl\";s:7:\"\u0000*\u0000date\";s:4:\"2014\";s:9:\"\u0000*\u0000volume\";s:2:\"25\";s:8:\"\u0000*\u0000issue\";s:1:\"7\";s:8:\"\u0000*\u0000spage\";s:4:\"1727\";s:8:\"\u0000*\u0000epage\";s:4:\"1736\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0932-8092\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:7:\"XIN SUN\";s:10:\"\u0000*\u0000aufirst\";s:0:\"\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:1:{i:0;s:11:\"HONGXUN YAO\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"MVAPEO\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:119:\"A refined particle filter based on determined level set model for robust contour tracking : Contextual vision computing\";s:8:\"\u0000*\u0000place\";s:10:\"Heidelberg\";s:6:\"\u0000*\u0000pub\";s:8:\"Springer\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"10\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Base Search access
"O:12:\"ArXivOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:25:\"10.1007\/s00138-013-0553-6\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:119:\"A refined particle filter based on determined level set model for robust contour tracking : Contextual vision computing\";s:9:\"\u0000*\u0000jtitle\";s:31:\"Machine vision and applications\";s:9:\"\u0000*\u0000stitle\";s:15:\"Mach. vis. appl\";s:7:\"\u0000*\u0000date\";s:4:\"2014\";s:9:\"\u0000*\u0000volume\";s:2:\"25\";s:8:\"\u0000*\u0000issue\";s:1:\"7\";s:8:\"\u0000*\u0000spage\";s:4:\"1727\";s:8:\"\u0000*\u0000epage\";s:4:\"1736\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0932-8092\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:7:\"XIN SUN\";s:10:\"\u0000*\u0000aufirst\";s:0:\"\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:1:{i:0;s:11:\"HONGXUN YAO\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"MVAPEO\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:119:\"A refined particle filter based on determined level set model for robust contour tracking : Contextual vision computing\";s:8:\"\u0000*\u0000place\";s:10:\"Heidelberg\";s:6:\"\u0000*\u0000pub\";s:8:\"Springer\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"10\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
arXiv access
