Person search challenges and solutions: a survey

Xiangtan Lin, Pengzhen Ren, Yun Xiao, Xiaojun Chang, Alex Hauptmann

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

3 Citations (Scopus)

Abstract

Person search has drawn increasing attention due to its real-world applications and research significance. Person search aims to find a probe person in a gallery of scene images with a wide range of applications, such as criminals search, multi-camera tracking, missing person search, etc. Early person search works focused on image-based person search, which uses person image as the search query. Text-based person search is another major person search category that uses free-form natural language as the search query. Person search is challenging, and corresponding solutions are diverse and complex. Therefore, systematic surveys on this topic are essential. This paper surveyed the recent works on image-based and text-based person search from the perspective of challenges and solutions. Specifically, we provide a brief analysis of highly influential person search methods considering the three significant challenges: the discriminative person features, the query-person gap, and the detection-identification inconsistency. We summarise and compare evaluation results. Finally, we discuss open issues and some promising future research directions.

Original languageEnglish
Title of host publicationProceedings of the Thirtieth International Joint Conference on Artificial Intelligence
EditorsZhi-Hua Zhou
Place of PublicationMarina del Rey CA USA
PublisherAssociation for the Advancement of Artificial Intelligence (AAAI)
Pages4500-4507
Number of pages8
ISBN (Electronic)9780999241196
DOIs
Publication statusPublished - 2021
EventInternational Joint Conference on Artificial Intelligence 2021 - Virtual, Montreal, Canada
Duration: 19 Aug 202127 Aug 2021
Conference number: 30th
https://www.ijcai.org/proceedings/2021/ (Proceedings)
https://ijcai-21.org (Website)

Publication series

NameIJCAI International Joint Conference on Artificial Intelligence
PublisherAssociation for the Advancement of Artificial Intelligence (AAAI)
ISSN (Print)1045-0823

Conference

ConferenceInternational Joint Conference on Artificial Intelligence 2021
Abbreviated titleIJCAI 2021
Country/TerritoryCanada
CityMontreal
Period19/08/2127/08/21
Internet address

Keywords

  • Computer vision
  • Natural language processing

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