Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 736510

Visual Peoplemeter: A Vision-based Television Audience Measurement System


Kuzmanić Skelin, Ana; Grujić, Tamara; Bonković, Mirjana
Visual Peoplemeter: A Vision-based Television Audience Measurement System // Advances in Electrical and Computer Engineering, 14 (2014), 4; 73-80 doi:10.4316/AECE.2014.04011 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 736510 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Visual Peoplemeter: A Vision-based Television Audience Measurement System

Autori
Kuzmanić Skelin, Ana ; Grujić, Tamara ; Bonković, Mirjana

Izvornik
Advances in Electrical and Computer Engineering (1582-7445) 14 (2014), 4; 73-80

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
consumer behavior; machine vision; object detection; image motion analysis; video surveillance

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split

Poveznice na cjeloviti tekst rada:

doi www.aece.ro

Citiraj ovu publikaciju:

Kuzmanić Skelin, Ana; Grujić, Tamara; Bonković, Mirjana
Visual Peoplemeter: A Vision-based Television Audience Measurement System // Advances in Electrical and Computer Engineering, 14 (2014), 4; 73-80 doi:10.4316/AECE.2014.04011 (međunarodna recenzija, članak, znanstveni)
Kuzmanić Skelin, A., Grujić, T. & Bonković, M. (2014) Visual Peoplemeter: A Vision-based Television Audience Measurement System. Advances in Electrical and Computer Engineering, 14 (4), 73-80 doi:10.4316/AECE.2014.04011.
@article{article, author = {Kuzmani\'{c} Skelin, Ana and Gruji\'{c}, Tamara and Bonkovi\'{c}, Mirjana}, year = {2014}, pages = {73-80}, DOI = {10.4316/AECE.2014.04011}, keywords = {consumer behavior, machine vision, object detection, image motion analysis, video surveillance}, journal = {Advances in Electrical and Computer Engineering}, doi = {10.4316/AECE.2014.04011}, volume = {14}, number = {4}, issn = {1582-7445}, title = {Visual Peoplemeter: A Vision-based Television Audience Measurement System}, keyword = {consumer behavior, machine vision, object detection, image motion analysis, video surveillance} }
@article{article, author = {Kuzmani\'{c} Skelin, Ana and Gruji\'{c}, Tamara and Bonkovi\'{c}, Mirjana}, year = {2014}, pages = {73-80}, DOI = {10.4316/AECE.2014.04011}, keywords = {consumer behavior, machine vision, object detection, image motion analysis, video surveillance}, journal = {Advances in Electrical and Computer Engineering}, doi = {10.4316/AECE.2014.04011}, volume = {14}, number = {4}, issn = {1582-7445}, title = {Visual Peoplemeter: A Vision-based Television Audience Measurement System}, keyword = {consumer behavior, machine vision, object detection, image motion analysis, video surveillance} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Uključenost u ostale bibliografske baze podataka::


  • INSPEC
  • SCOPUS (Elsevier)
  • Journal Citation Reports/Science Edition (Thomson Reuters)
  • Science Citation Index Expanded (Thomson Reuters)


Citati:





    Contrast
    Increase Font
    Decrease Font
    Dyslexic Font