Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPBW34M/3CA2238 |
Repository | sid.inpe.br/sibgrapi/2012/07.15.23.52 |
Last Update | 2012:07.15.23.52.54 ffaria@ic.unicamp.br |
Metadata | sid.inpe.br/sibgrapi/2012/07.15.23.52.54 |
Metadata Last Update | 2020:02.19.02.18.28 administrator |
Citation Key | FariaSantRochTorr:2012:AuClFu |
Title | Automatic Classifier Fusion for Produce Recognition  |
Format | DVD, On-line. |
Year | 2012 |
Access Date | 2021, Jan. 24 |
Number of Files | 1 |
Size | 1106 KiB |
Context area | |
Author | 1 Faria, Fabio Augusto 2 Santos, Jefersson Alex dos 3 Rocha, Anderson 4 Torres, Ricardo da Silva |
Affiliation | 1 University of Campinas 2 University of Campinas 3 University of Campinas 4 University of Campinas |
Editor | Freitas, Carla Maria Dal Sasso Sarkar, Sudeep Scopigno, Roberto Silva, Luciano |
e-Mail Address | ffaria@ic.unicamp.br |
Conference Name | Conference on Graphics, Patterns and Images, 25 (SIBGRAPI) |
Conference Location | Ouro Preto |
Date | Aug. 22-25, 2012 |
Book Title | Proceedings |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Tertiary Type | Full Paper |
History | 2012-09-20 16:45:34 :: ffaria@ic.unicamp.br -> administrator :: 2012 2020-02-19 02:18:28 :: administrator -> :: 2012 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | Recognition, Ensemble of Classifiers, Diversity Measures. |
Abstract | Recognizing different kinds of fruits and vegetables is a common task in supermarkets. This task, however, poses several challenges as it requires the identification of different species of a particular produce and also its variety. Usually, existing computer-based recognition approaches are not automatic and demand long-term and laborious prior training sessions. This paper presents a novel framework for classifier fusion aiming at supporting the automatic recognition of fruits and vegetables in a supermarket environment. The objective is to provide an effective mechanism for combining low-cost classifiers trained for specific classes of interest. The experiments performed demonstrate that the proposed framework yields better results than several related work found in the literature and represents a step forward automatic produce recognition in cashiers of supermarkets. |
source Directory Content | there are no files |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPBW34M/3CA2238 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3CA2238 |
Language | en |
Target File | 2012-sibgrapi-ffaria-vs-03.pdf |
User Group | ffaria@ic.unicamp.br |
Visibility | shown |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
| |