An Improvement of Subject Reacquisition by Reasoning and Revision

Jianbing Ma, Weiru Liu, Paul Miller, Fabian Campbell-West

Research output: Chapter in Book/Report/Conference proceedingConference contribution


CCTV systems are broadly deployed in the present world. Despite this, the impact on anti-social and criminal behaviour has been minimal. Subject reacquisition is a fundamental task to ensure in-time reaction for intelligent surveillance. However, traditional reacquisition based on face recognition is not scalable, hence in this paper we use reasoning techniques to reduce the computational effort which deploys the time-of-flight information between interested zones such as airport security corridors. Also, to improve accuracy of reacquisition, we introduce the idea of revision as a method of post-processing.We demonstrate the significance and usefulness of our framework with an experiment which shows much less computational effort and better accuracy.
Original languageEnglish
Title of host publicationScalable Uncertainty Management: 7th International Conference, SUM 2013, Washington, DC, USA, September 16-18, 2013. Proceedings
EditorsWeiru Liu, V. S. Subrahmanian, Jef Wijsen
Number of pages14
ISBN (Electronic)978-3-642-40381-1
ISBN (Print)978-3-642-40380-4
Publication statusPublished - Sept 2013
EventSeventh International Conference on Scalable Uncertainty Management - Washington D.C., United States
Duration: 16 Sept 201318 Sept 2013

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
ISSN (Print)0302-9743


ConferenceSeventh International Conference on Scalable Uncertainty Management
Country/TerritoryUnited States
CityWashington D.C.

ASJC Scopus subject areas

  • General Computer Science
  • Theoretical Computer Science


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