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InECCE2019 pp 425-436 | Cite as

Open-Set Face Recognition in Video Surveillance: A Survey

  • Wasseem N. Ibrahem Al-ObaydyEmail author
  • Shahrel Azmin Suandi
Conference paper
  • 15 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 632)

Abstract

Face recognition has received a substantial attention by the vision community over the past few decades. Most of the proposed frameworks have adopted the closed-set form of face recognition. However, when a novel unregistered face is presented to the system, the result will be misclassification. A more general and challenging open-set face recognition scheme is highly desirable due to its ability in dealing with the unknown persons which are not enrolled before. We observed that there is a shortage in survey papers that explore the research endeavors in open-set face recognition. In this paper, we present a literature survey of the open-set face recognition approaches that have been introduced for real-world scenarios focusing on video surveillance applications. Moreover, we discuss the current difficulties and suggest the promising directions for future research. The paper also describes the evaluation metrics and available benchmarking face video surveillance databases.

Keywords

Open-set face recognition Video surveillance Identity of Interest (IoI) 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Wasseem N. Ibrahem Al-Obaydy
    • 1
    • 2
    Email author
  • Shahrel Azmin Suandi
    • 1
  1. 1.Intelligent Biometric Group, School of Electrical and Electronic EngineeringUniversiti Sains MalaysiaNibong TebalMalaysia
  2. 2.Computer Engineering DepartmentUniversity of TechnologyBaghdadIraq

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