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JCR Impact Factor: 0.700
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PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

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2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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  4/2014 - 11

Visual Peoplemeter: A Vision-based Television Audience Measurement System

SKELIN, A. K. See more information about SKELIN, A. K. on SCOPUS See more information about SKELIN, A. K. on IEEExplore See more information about SKELIN, A. K. on Web of Science, SUPUK, T. G. See more information about  SUPUK, T. G. on SCOPUS See more information about  SUPUK, T. G. on SCOPUS See more information about SUPUK, T. G. on Web of Science, BONKOVIC, M. See more information about BONKOVIC, M. on SCOPUS See more information about BONKOVIC, M. on SCOPUS See more information about BONKOVIC, M. on Web of Science
 
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Download PDF pdficon (835 KB) | Citation | Downloads: 818 | Views: 4,881

Author keywords
consumer behavior, machine vision, object detection, image motion analysis, video surveillance

References keywords
vision(13), recognition(13), tracking(9), pattern(9), attention(9), cvpr(7), machine(6), detection(6), visual(5), television(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-11-30
Volume 14, Issue 4, Year 2014, On page(s): 73 - 80
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.04011
Web of Science Accession Number: 000348772500011
SCOPUS ID: 84921682412

Abstract
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Visual peoplemeter is a vision-based measurement system that objectively evaluates the attentive behavior for TV audience rating, thus offering solution to some of drawbacks of current manual logging peoplemeters. In this paper, some limitations of current audience measurement system are reviewed and a novel vision-based system aiming at passive metering of viewers is prototyped. The system uses camera mounted on a television as a sensing modality and applies advanced computer vision algorithms to detect and track a person, and to recognize attentional states. Feasibility of the system is evaluated on a secondary dataset. The results show that the proposed system can analyze viewer's attentive behavior, therefore enabling passive estimates of relevant audience measurement categories.


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Cited-By CrossRef

[1] Method for Fault Diagnosis and Location of Television Broadcasting Based on Computer Vision, Zhang, Shaofei, Zhao, Nanjing, Wang, Jianye, Su, Quan, Gu, Yaohao, 2024 4th International Conference on Neural Networks, Information and Communication (NNICE), ISBN 979-8-3503-9437-5, 2024.
Digital Object Identifier: 10.1109/NNICE61279.2024.10499089
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Faculty of Electrical Engineering and Computer Science
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