1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPEW34M/45E5JRH |
Repository | sid.inpe.br/sibgrapi/2021/09.13.22.19 |
Last Update | 2021:10.02.17.36.22 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2021/09.13.22.19.25 |
Metadata Last Update | 2022:09.10.00.16.17 (UTC) administrator |
Citation Key | HuaytaClúaGuér:2021:NoHuHy |
Title | A Novel Human-Machine Hybrid Framework for Person Re-Identification from Full Frame Videos |
Format | On-line |
Year | 2021 |
Access Date | 2024, Apr. 19 |
Number of Files | 1 |
Size | 1494 KiB |
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2. Context | |
Author | 1 Huayta, Felix Oliver Sumari 2 Clúa, Esteban Walter Gonzales 3 Guérin, Joris |
Affiliation | 1 Universidade Federal Fluminense - Instituto de Computação 2 Universidade Federal Fluminense - Instituto de Computação 3 Université de Toulouse |
Editor | Paiva, Afonso Menotti, David Baranoski, Gladimir V. G. Proença, Hugo Pedro Junior, Antonio Lopes Apolinario Papa, João Paulo Pagliosa, Paulo dos Santos, Thiago Oliveira e Sá, Asla Medeiros da Silveira, Thiago Lopes Trugillo Brazil, Emilio Vital Ponti, Moacir A. Fernandes, Leandro A. F. Avila, Sandra |
e-Mail Address | fsumari@id.uff.br |
Conference Name | Conference on Graphics, Patterns and Images, 34 (SIBGRAPI) |
Conference Location | Gramado, RS, Brazil (virtual) |
Date | 18-22 Oct. 2021 |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Book Title | Proceedings |
Tertiary Type | Master's or Doctoral Work |
History (UTC) | 2021-10-07 02:42:33 :: fsumari@id.uff.br -> administrator :: 2021 2022-09-10 00:16:17 :: administrator -> :: 2021 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | Security Application Person Re-Identification Pedestrian Detection |
Abstract | With the major adoption of automation for cities security, person re-identification (Re-ID) has been extensively studied. In this dissertation, we argue that the current way of studying person re-identification, i.e. by trying to re-identify a person within already detected and pre-cropped images of people, is not sufficient to implement practical security applications, where the inputs to the system are the full frames of the video streams. To support this claim, we introduce the Full Frame Person Re-ID setting and define specific metrics to evaluate FF-PRID implementations. To improve robustness, we also formalize the hybrid human-machine collaboration framework, which is inherent to any Re-ID security applications. To demonstrate the importance of considering the FF-PRID setting, we build an experiment showing that combining a good people detection network with a good Re-ID model does not necessarily produce good results for the final application. This underlines a failure of the current formulation in assessing the quality of a Re-ID model and justifies the use of different metrics. We hope that this work will motivate the research community to consider the full problem in order to develop algorithms that are better suited to real-world scenarios. |
Arrangement | urlib.net > SDLA > Fonds > SIBGRAPI 2021 > A Novel Human-Machine... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPEW34M/45E5JRH |
zipped data URL | http://urlib.net/zip/8JMKD3MGPEW34M/45E5JRH |
Language | en |
Target File | PAPER_SIBGRAPI_2021_CAMERA_READY.pdf |
User Group | fsumari@id.uff.br |
Visibility | shown |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPEW34M/45PQ3RS |
Citing Item List | sid.inpe.br/sibgrapi/2021/11.12.11.46 3 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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