Çevresel zeka uygulamalari i̇çi̇n tüm yönlü kamera kullanimi

Bariş Evrim Demiröz; Albert Ali Salah; Lale Akarun

doi:10.1109/SIU.2012.6204823

Çevresel zeka uygulamalari i̇çi̇n tüm yönlü kamera kullanimi

Translated title of the contribution: Multi-omnidirectional cameras for ambient intelligence

Bariş Evrim Demiröz, Albert Ali Salah, Lale Akarun

Bogazici University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

In this paper we describe several indoor scenarios for ambient intelligence settings with a data collection setup that uses two omni-directional cameras, and challenges posed by realistic illumination and occlusion settings. Single-person and multi-person activities are recorded and annotated. We describe baseline and feature-based tracking systems and comparatively analyse tracker performance in this setting. Our results show that omni-directional cameras have great potential for indoor settings.

Translated title of the contribution	Multi-omnidirectional cameras for ambient intelligence
Original language	Turkish
Title of host publication	2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings
DOIs	https://doi.org/10.1109/SIU.2012.6204823
Publication status	Published - 9 Jul 2012
Event	2012 20th Signal Processing and Communications Applications Conference, SIU 2012 - Fethiye, Mugla, Turkey Duration: 18 Apr 2012 → 20 Apr 2012

Conference

Conference	2012 20th Signal Processing and Communications Applications Conference, SIU 2012
Country/Territory	Turkey
City	Fethiye, Mugla
Period	18/04/12 → 20/04/12

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10.1109/SIU.2012.6204823

Cite this

@inproceedings{56cf1de346de4d84b1a751cf2449cd1c,

title = "{\c C}evresel zeka uygulamalari {\.i}{\c c}{\.i}n t{\"u}m y{\"o}nl{\"u} kamera kullanimi",

abstract = "In this paper we describe several indoor scenarios for ambient intelligence settings with a data collection setup that uses two omni-directional cameras, and challenges posed by realistic illumination and occlusion settings. Single-person and multi-person activities are recorded and annotated. We describe baseline and feature-based tracking systems and comparatively analyse tracker performance in this setting. Our results show that omni-directional cameras have great potential for indoor settings.",

author = "Demir{\"o}z, {Bari{\c s} Evrim} and Salah, {Albert Ali} and Lale Akarun",

year = "2012",

month = jul,

day = "9",

doi = "10.1109/SIU.2012.6204823",

language = "Turkish",

isbn = "9781467300568",

booktitle = "2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings",

note = "2012 20th Signal Processing and Communications Applications Conference, SIU 2012 ; Conference date: 18-04-2012 Through 20-04-2012",

}

Demiröz, BE, Salah, AA & Akarun, L 2012, Çevresel zeka uygulamalari i̇çi̇n tüm yönlü kamera kullanimi. in 2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings., 6204823, 2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Fethiye, Mugla, Turkey, 18/04/12. https://doi.org/10.1109/SIU.2012.6204823

TY - GEN

T1 - Çevresel zeka uygulamalari i̇çi̇n tüm yönlü kamera kullanimi

AU - Demiröz, Bariş Evrim

AU - Salah, Albert Ali

AU - Akarun, Lale

PY - 2012/7/9

Y1 - 2012/7/9

N2 - In this paper we describe several indoor scenarios for ambient intelligence settings with a data collection setup that uses two omni-directional cameras, and challenges posed by realistic illumination and occlusion settings. Single-person and multi-person activities are recorded and annotated. We describe baseline and feature-based tracking systems and comparatively analyse tracker performance in this setting. Our results show that omni-directional cameras have great potential for indoor settings.

AB - In this paper we describe several indoor scenarios for ambient intelligence settings with a data collection setup that uses two omni-directional cameras, and challenges posed by realistic illumination and occlusion settings. Single-person and multi-person activities are recorded and annotated. We describe baseline and feature-based tracking systems and comparatively analyse tracker performance in this setting. Our results show that omni-directional cameras have great potential for indoor settings.

UR - http://www.scopus.com/inward/record.url?scp=84863448617&partnerID=8YFLogxK

U2 - 10.1109/SIU.2012.6204823

DO - 10.1109/SIU.2012.6204823

M3 - Conference contribution

AN - SCOPUS:84863448617

SN - 9781467300568

BT - 2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings

T2 - 2012 20th Signal Processing and Communications Applications Conference, SIU 2012

Y2 - 18 April 2012 through 20 April 2012

ER -

Çevresel zeka uygulamalari i̇çi̇n tüm yönlü kamera kullanimi

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