Video surveillance of epilepsy patients using color image processing

Gitte Bager; Kenan Vilic; Adnan Vilic; Jørgen Alving; Peter Wolf; Thomas Sams; Helge Bjarup Dissing Sørensen

doi:10.1109/EMBC.2014.6944686

Video surveillance of epilepsy patients using color image processing

Gitte Bager, Kenan Vilic, Adnan Vilic, Jørgen Alving, Peter Wolf, Thomas Sams, Helge Bjarup Dissing Sørensen

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

This paper introduces a method for tracking patients under video surveillance based on a color marker system. The patients are not restricted in their movements, which requires a tracking system that can overcome non-ideal scenes e.g. occlusions, very fast movements, lighting issues and other moving objects. The suggested marker system consists of twelve unique markers that are located at each joint. By using a color marker system, each marker (if visible) can be found in every frame disregarding the possibility that it was occluded in the previous frame, compared to other tracking systems.

Original language	English
Title of host publication	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Publisher	IEEE
Publication date	2014
Pages	4751-4754
ISBN (Print)	978-1-4244-7929-0
DOIs	https://doi.org/10.1109/EMBC.2014.6944686
Publication status	Published - 2014
Event	36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Chicago, IL, United States Duration: 26 Aug 2014 → 30 Aug 2014 Conference number: 36 http://embc.embs.org/2014/

Conference

Conference	36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Number	36
Country/Territory	United States
City	Chicago, IL
Period	26/08/2014 → 30/08/2014
Internet address	http://embc.embs.org/2014/

Keywords

Bioengineering
Computer vision
Epilepsy
Image color analysis
Image motion analysis
Pediatrics
Tracking
Video surveillance

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10.1109/EMBC.2014.6944686

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@inproceedings{5e76f4bd2a2947bd918afef7b65efb73,

title = "Video surveillance of epilepsy patients using color image processing",

abstract = "This paper introduces a method for tracking patients under video surveillance based on a color marker system. The patients are not restricted in their movements, which requires a tracking system that can overcome non-ideal scenes e.g. occlusions, very fast movements, lighting issues and other moving objects. The suggested marker system consists of twelve unique markers that are located at each joint. By using a color marker system, each marker (if visible) can be found in every frame disregarding the possibility that it was occluded in the previous frame, compared to other tracking systems.",

keywords = "Bioengineering, Computer vision, Epilepsy, Image color analysis, Image motion analysis, Pediatrics, Tracking, Video surveillance",

author = "Gitte Bager and Kenan Vilic and Adnan Vilic and J{\o}rgen Alving and Peter Wolf and Thomas Sams and S{\o}rensen, \{Helge Bjarup Dissing\}",

year = "2014",

doi = "10.1109/EMBC.2014.6944686",

language = "English",

isbn = "978-1-4244-7929-0",

pages = "4751--4754",

booktitle = "2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society",

publisher = "IEEE",

address = "United States",

note = "36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC ; Conference date: 26-08-2014 Through 30-08-2014",

url = "http://embc.embs.org/2014/",

}

Bager, G, Vilic, K, Vilic, A, Alving, J, Wolf, P, Sams, T & Sørensen, HBD 2014, Video surveillance of epilepsy patients using color image processing. in 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society . IEEE, pp. 4751-4754, 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, United States, 26/08/2014. https://doi.org/10.1109/EMBC.2014.6944686

TY - GEN

T1 - Video surveillance of epilepsy patients using color image processing

AU - Bager, Gitte

AU - Vilic, Kenan

AU - Vilic, Adnan

AU - Alving, Jørgen

AU - Wolf, Peter

AU - Sams, Thomas

AU - Sørensen, Helge Bjarup Dissing

N1 - Conference code: 36

PY - 2014

Y1 - 2014

N2 - This paper introduces a method for tracking patients under video surveillance based on a color marker system. The patients are not restricted in their movements, which requires a tracking system that can overcome non-ideal scenes e.g. occlusions, very fast movements, lighting issues and other moving objects. The suggested marker system consists of twelve unique markers that are located at each joint. By using a color marker system, each marker (if visible) can be found in every frame disregarding the possibility that it was occluded in the previous frame, compared to other tracking systems.

AB - This paper introduces a method for tracking patients under video surveillance based on a color marker system. The patients are not restricted in their movements, which requires a tracking system that can overcome non-ideal scenes e.g. occlusions, very fast movements, lighting issues and other moving objects. The suggested marker system consists of twelve unique markers that are located at each joint. By using a color marker system, each marker (if visible) can be found in every frame disregarding the possibility that it was occluded in the previous frame, compared to other tracking systems.

KW - Bioengineering

KW - Computer vision

KW - Epilepsy

KW - Image color analysis

KW - Image motion analysis

KW - Pediatrics

KW - Tracking

KW - Video surveillance

U2 - 10.1109/EMBC.2014.6944686

DO - 10.1109/EMBC.2014.6944686

M3 - Article in proceedings

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SN - 978-1-4244-7929-0

SP - 4751

EP - 4754

BT - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

PB - IEEE

T2 - 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 26 August 2014 through 30 August 2014

ER -

Video surveillance of epilepsy patients using color image processing

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Keywords

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