Interactive person-retrieval in TV series and distributed surveillance video

Martin Bäuml*, Mika Fischer, Keni Bernardin, Hazim K. Ekenel, Rainer Stiefelhagen

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

Tracking and identifying persons in videos are important building blocks in many applications. For browsing of multimedia data or interactive investigation of surveillance footage it is not even necessary to uniquely identify a person. Rather it often suffices to find occurrences of a person indicated by the user with an exemplary image sequence. We present two systems in which the search for a specific person can be initiated by a sample image sequence and then be further refined by interactive feedback by the operator. In the first system, episodes of TV series have been processed offline and can be searched for occurrences of the different characters. The second system tracks people online in multiple cameras and makes the sequences immediately searchable from a central station

Original languageEnglish
Title of host publicationMM'10 - Proceedings of the ACM Multimedia 2010 International Conference
Pages1637-1638
Number of pages2
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event18th ACM International Conference on Multimedia ACM Multimedia 2010, MM'10 - Firenze, Italy
Duration: 25 Oct 201029 Oct 2010

Publication series

NameMM'10 - Proceedings of the ACM Multimedia 2010 International Conference

Conference

Conference18th ACM International Conference on Multimedia ACM Multimedia 2010, MM'10
Country/TerritoryItaly
CityFirenze
Period25/10/1029/10/10

Keywords

  • face recognition
  • face tracking
  • person retrieval

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