An Improvement of Subject Reacquisition by Reasoning and Revision

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

doi:10.1007/978-3-642-40381-1_14

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 proceeding › Conference contribution

Abstract

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 language	English
Title of host publication	Scalable Uncertainty Management: 7th International Conference, SUM 2013, Washington, DC, USA, September 16-18, 2013. Proceedings
Editors	Weiru Liu, V. S. Subrahmanian, Jef Wijsen
Publisher	Springer Verlag
Pages	176-189
Number of pages	14
ISBN (Electronic)	978-3-642-40381-1
ISBN (Print)	978-3-642-40380-4
DOIs	https://doi.org/10.1007/978-3-642-40381-1_14
Publication status	Published - Sept 2013
Event	Seventh International Conference on Scalable Uncertainty Management - Washington D.C., United States Duration: 16 Sept 2013 → 18 Sept 2013

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Berlin Heidelberg
Volume	8078
ISSN (Print)	0302-9743

Conference

Conference	Seventh International Conference on Scalable Uncertainty Management
Country/Territory	United States
City	Washington D.C.
Period	16/09/2013 → 18/09/2013

ASJC Scopus subject areas

General Computer Science
Theoretical Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-642-40381-1_14

R1118ECI: Centre for Secure Information Technologies (CSIT)
McCanny, J. V. (PI), Cowan, C. (CoI), Crookes, D. (CoI), Fusco, V. (CoI), Linton, D. (CoI), Liu, W. (CoI), Miller, P. (CoI), O'Neill, M. (CoI), Scanlon, W. (CoI) & Sezer, S. (CoI)
01/08/2009 → 30/06/2014
Project: Research

Cite this

Ma, J., Liu, W., Miller, P., & Campbell-West, F. (2013). An Improvement of Subject Reacquisition by Reasoning and Revision. In W. Liu, V. S. Subrahmanian, & J. Wijsen (Eds.), Scalable Uncertainty Management: 7th International Conference, SUM 2013, Washington, DC, USA, September 16-18, 2013. Proceedings (pp. 176-189). (Lecture Notes in Computer Science; Vol. 8078). Springer Verlag. https://doi.org/10.1007/978-3-642-40381-1_14

Ma, Jianbing ; Liu, Weiru ; Miller, Paul et al. / An Improvement of Subject Reacquisition by Reasoning and Revision. Scalable Uncertainty Management: 7th International Conference, SUM 2013, Washington, DC, USA, September 16-18, 2013. Proceedings. editor / Weiru Liu ; V. S. Subrahmanian ; Jef Wijsen. Springer Verlag, 2013. pp. 176-189 (Lecture Notes in Computer Science).

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title = "An Improvement of Subject Reacquisition by Reasoning and Revision",

abstract = "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.",

author = "Jianbing Ma and Weiru Liu and Paul Miller and Fabian Campbell-West",

year = "2013",

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Ma, J, Liu, W, Miller, P & Campbell-West, F 2013, An Improvement of Subject Reacquisition by Reasoning and Revision. in W Liu, VS Subrahmanian & J Wijsen (eds), Scalable Uncertainty Management: 7th International Conference, SUM 2013, Washington, DC, USA, September 16-18, 2013. Proceedings. Lecture Notes in Computer Science, vol. 8078, Springer Verlag, pp. 176-189, Seventh International Conference on Scalable Uncertainty Management, Washington D.C., United States, 16/09/2013. https://doi.org/10.1007/978-3-642-40381-1_14

An Improvement of Subject Reacquisition by Reasoning and Revision. / Ma, Jianbing; Liu, Weiru; Miller, Paul et al.
Scalable Uncertainty Management: 7th International Conference, SUM 2013, Washington, DC, USA, September 16-18, 2013. Proceedings. ed. / Weiru Liu; V. S. Subrahmanian; Jef Wijsen. Springer Verlag, 2013. p. 176-189 (Lecture Notes in Computer Science; Vol. 8078).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - 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.

AB - 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.

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M3 - Conference contribution

SN - 978-3-642-40380-4

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BT - Scalable Uncertainty Management: 7th International Conference, SUM 2013, Washington, DC, USA, September 16-18, 2013. Proceedings

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Ma J, Liu W, Miller P, Campbell-West F. An Improvement of Subject Reacquisition by Reasoning and Revision. In Liu W, Subrahmanian VS, Wijsen J, editors, Scalable Uncertainty Management: 7th International Conference, SUM 2013, Washington, DC, USA, September 16-18, 2013. Proceedings. Springer Verlag. 2013. p. 176-189. (Lecture Notes in Computer Science). doi: 10.1007/978-3-642-40381-1_14

An Improvement of Subject Reacquisition by Reasoning and Revision

Abstract

Publication series

Conference

ASJC Scopus subject areas

UN SDGs

Access to Document

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Projects

R1118ECI: Centre for Secure Information Technologies (CSIT)

Cite this