@inproceedings{b5d6644f1cc0490ab755ac5319f0a723,
title = "Interactive person-retrieval in TV series and distributed surveillance video",
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",
keywords = "face recognition, face tracking, person retrieval",
author = "Martin B{\"a}uml and Mika Fischer and Keni Bernardin and Ekenel, {Hazim K.} and Rainer Stiefelhagen",
year = "2010",
doi = "10.1145/1873951.1874308",
language = "English",
isbn = "9781605589336",
series = "MM'10 - Proceedings of the ACM Multimedia 2010 International Conference",
pages = "1637--1638",
booktitle = "MM'10 - Proceedings of the ACM Multimedia 2010 International Conference",
note = "18th ACM International Conference on Multimedia ACM Multimedia 2010, MM'10 ; Conference date: 25-10-2010 Through 29-10-2010",
}