Face recognition in surveillance video for criminal investigations: A review

Napa Lakshmi; Megha P. Arakeri

doi:10.1007/978-981-13-2372-0_31

Face recognition in surveillance video for criminal investigations: A review

Napa Lakshmi^*
, Megha P. Arakeri

^*Corresponding author for this work

School of Computer Engineering

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

5 Citations (Scopus)

Abstract

Face recognition from surveillance video in a forensic scenario is a very challenging task. Much of the existing work focuses on face recognition in a video where the video frames are of high-resolution, containing faces in frontal pose and in optimal lighting conditions. However, new challenges are encountered as applications of face recognition advance from cooperative and constrained scenarios to uncooperative subjects in unconstrained scenarios such as video surveillance. These challenges are due to low image resolution, variant expressions, face orientations, partial occlusion, complex background and the differences in surrounding illumination. In criminal investigations, the aim is to identify a culprit by collecting the information from the various face input media that includes video tracks, still face images, 3D model of a face, and verbal descriptions of the person presented by eyewitness. Face sketch may be generated from these verbal descriptions which can be matched against mug shot database. This paper reviews various methods and techniques used to identify a person of interest in an unconstrained environment with the above-mentioned challenges.

Original language	English
Title of host publication	Communication, Networks and Computing - First International Conference, CNC 2018, Revised Selected Papers
Editors	Ranjeet Singh Tomar, Brijesh Kumar Chaurasia, Shekhar Verma, Vrijendra Singh, Jemal Abawajy
Publisher	Springer Verlag
Pages	351-364
Number of pages	14
ISBN (Print)	9789811323713
DOIs	https://doi.org/10.1007/978-981-13-2372-0_31
Publication status	Published - 2019
Event	1st International Conference on Communication, Networks and Computing, CNC 2018 - Gwalior, India Duration: 22-03-2018 → 24-03-2018

Publication series

Name	Communications in Computer and Information Science
Volume	839
ISSN (Print)	1865-0929

Conference

Conference	1st International Conference on Communication, Networks and Computing, CNC 2018
Country/Territory	India
City	Gwalior
Period	22-03-18 → 24-03-18

UN SDGs

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

SDG 16 Peace, Justice and Strong Institutions

All Science Journal Classification (ASJC) codes

General Computer Science
General Mathematics

Access to Document

10.1007/978-981-13-2372-0_31

Cite this

Lakshmi, N., & Arakeri, M. P. (2019). Face recognition in surveillance video for criminal investigations: A review. In R. S. Tomar, B. K. Chaurasia, S. Verma, V. Singh, & J. Abawajy (Eds.), Communication, Networks and Computing - First International Conference, CNC 2018, Revised Selected Papers (pp. 351-364). (Communications in Computer and Information Science; Vol. 839). Springer Verlag. https://doi.org/10.1007/978-981-13-2372-0_31

Lakshmi, Napa ; Arakeri, Megha P. / Face recognition in surveillance video for criminal investigations : A review. Communication, Networks and Computing - First International Conference, CNC 2018, Revised Selected Papers. editor / Ranjeet Singh Tomar ; Brijesh Kumar Chaurasia ; Shekhar Verma ; Vrijendra Singh ; Jemal Abawajy. Springer Verlag, 2019. pp. 351-364 (Communications in Computer and Information Science).

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title = "Face recognition in surveillance video for criminal investigations: A review",

abstract = "Face recognition from surveillance video in a forensic scenario is a very challenging task. Much of the existing work focuses on face recognition in a video where the video frames are of high-resolution, containing faces in frontal pose and in optimal lighting conditions. However, new challenges are encountered as applications of face recognition advance from cooperative and constrained scenarios to uncooperative subjects in unconstrained scenarios such as video surveillance. These challenges are due to low image resolution, variant expressions, face orientations, partial occlusion, complex background and the differences in surrounding illumination. In criminal investigations, the aim is to identify a culprit by collecting the information from the various face input media that includes video tracks, still face images, 3D model of a face, and verbal descriptions of the person presented by eyewitness. Face sketch may be generated from these verbal descriptions which can be matched against mug shot database. This paper reviews various methods and techniques used to identify a person of interest in an unconstrained environment with the above-mentioned challenges.",

author = "Napa Lakshmi and Arakeri, \{Megha P.\}",

note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2019.; 1st International Conference on Communication, Networks and Computing, CNC 2018 ; Conference date: 22-03-2018 Through 24-03-2018",

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Lakshmi, N & Arakeri, MP 2019, Face recognition in surveillance video for criminal investigations: A review. in RS Tomar, BK Chaurasia, S Verma, V Singh & J Abawajy (eds), Communication, Networks and Computing - First International Conference, CNC 2018, Revised Selected Papers. Communications in Computer and Information Science, vol. 839, Springer Verlag, pp. 351-364, 1st International Conference on Communication, Networks and Computing, CNC 2018, Gwalior, India, 22-03-18. https://doi.org/10.1007/978-981-13-2372-0_31

Face recognition in surveillance video for criminal investigations: A review. / Lakshmi, Napa; Arakeri, Megha P.
Communication, Networks and Computing - First International Conference, CNC 2018, Revised Selected Papers. ed. / Ranjeet Singh Tomar; Brijesh Kumar Chaurasia; Shekhar Verma; Vrijendra Singh; Jemal Abawajy. Springer Verlag, 2019. p. 351-364 (Communications in Computer and Information Science; Vol. 839).

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

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PY - 2019

Y1 - 2019

N2 - Face recognition from surveillance video in a forensic scenario is a very challenging task. Much of the existing work focuses on face recognition in a video where the video frames are of high-resolution, containing faces in frontal pose and in optimal lighting conditions. However, new challenges are encountered as applications of face recognition advance from cooperative and constrained scenarios to uncooperative subjects in unconstrained scenarios such as video surveillance. These challenges are due to low image resolution, variant expressions, face orientations, partial occlusion, complex background and the differences in surrounding illumination. In criminal investigations, the aim is to identify a culprit by collecting the information from the various face input media that includes video tracks, still face images, 3D model of a face, and verbal descriptions of the person presented by eyewitness. Face sketch may be generated from these verbal descriptions which can be matched against mug shot database. This paper reviews various methods and techniques used to identify a person of interest in an unconstrained environment with the above-mentioned challenges.

AB - Face recognition from surveillance video in a forensic scenario is a very challenging task. Much of the existing work focuses on face recognition in a video where the video frames are of high-resolution, containing faces in frontal pose and in optimal lighting conditions. However, new challenges are encountered as applications of face recognition advance from cooperative and constrained scenarios to uncooperative subjects in unconstrained scenarios such as video surveillance. These challenges are due to low image resolution, variant expressions, face orientations, partial occlusion, complex background and the differences in surrounding illumination. In criminal investigations, the aim is to identify a culprit by collecting the information from the various face input media that includes video tracks, still face images, 3D model of a face, and verbal descriptions of the person presented by eyewitness. Face sketch may be generated from these verbal descriptions which can be matched against mug shot database. This paper reviews various methods and techniques used to identify a person of interest in an unconstrained environment with the above-mentioned challenges.

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PB - Springer Verlag

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ER -

Lakshmi N, Arakeri MP. Face recognition in surveillance video for criminal investigations: A review. In Tomar RS, Chaurasia BK, Verma S, Singh V, Abawajy J, editors, Communication, Networks and Computing - First International Conference, CNC 2018, Revised Selected Papers. Springer Verlag. 2019. p. 351-364. (Communications in Computer and Information Science). doi: 10.1007/978-981-13-2372-0_31

Face recognition in surveillance video for criminal investigations: A review

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

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