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Pregled bibliografske jedinice broj: 1045510

Active Player Detection in Handball Videos Using Optical Flow and STIPs Based Measures

Ivašić-Kos, Marina; Pobar, Miran; Gonzalez, Jordi
Active Player Detection in Handball Videos Using Optical Flow and STIPs Based Measures // 13th International Conference on Signal Processing and Communication Systems ICSPCS 2019
Gold Coast, Australija: Institute of Electrical and Electronics Engineers (IEEE), 2019. str. 234-241 doi:10.1109/ICSPCS47537.2019.9008460 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Active Player Detection in Handball Videos Using Optical Flow and STIPs Based Measures

Autori
Ivašić-Kos, Marina ; Pobar, Miran ; Gonzalez, Jordi

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
13th International Conference on Signal Processing and Communication Systems ICSPCS 2019 / - : Institute of Electrical and Electronics Engineers (IEEE), 2019, 234-241

ISBN
978-1-5386-2886-7

Skup
13th International Conference on Signal Processing and Communication Systems (ICSPCS 2019)

Mjesto i datum
Gold Coast, Australija, 16.12.2019. - 18.12.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Object detectors ; Yolo ; Spatio-Temporal Interest Point – STIP ; Optical flow ; Handball scenes

Sažetak
In handball videos recorded during the training, multiple players are present in the scene at the same time. Although they all might move and interact, not all players contribute to the currently relevant exercise nor practice the given handball techniques. The goal of this experiment is to automatically determine players on training footage that perform given handball techniques and are therefore considered active. It is a very challenging task for which a precise object detector is needed that can handle cluttered scenes with poor illumination, with many players present in different sizes and distances from the camera, partially occluded, moving fast. To determine which of the detected players are active, additional information is needed about the level of player activity. Since many handball actions are characterized by considerable changes in speed, position, and variations in the player's appearance, we propose using spatio-temporal interest points (STIPs) and optical flow (OF). Therefore, we propose an active player detection method combining the YOLO object detector and two activity measures based on STIPs and OF. The performance of the proposed method and activity measures are evaluated on a custom handball video dataset acquired during handball training lessons.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA

Projekti:
HRZZ-IP-06-2016-8345

Ustanove:
Fakultet informatike i digitalnih tehnologija, Rijeka

Profili:

Avatar Url Miran Pobar (autor)

Avatar Url Marina Ivašić Kos (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Ivašić-Kos, Marina; Pobar, Miran; Gonzalez, Jordi
Active Player Detection in Handball Videos Using Optical Flow and STIPs Based Measures // 13th International Conference on Signal Processing and Communication Systems ICSPCS 2019
Gold Coast, Australija: Institute of Electrical and Electronics Engineers (IEEE), 2019. str. 234-241 doi:10.1109/ICSPCS47537.2019.9008460 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Ivašić-Kos, M., Pobar, M. & Gonzalez, J. (2019) Active Player Detection in Handball Videos Using Optical Flow and STIPs Based Measures. U: 13th International Conference on Signal Processing and Communication Systems ICSPCS 2019 doi:10.1109/ICSPCS47537.2019.9008460.
@article{article, author = {Iva\v{s}i\'{c}-Kos, Marina and Pobar, Miran and Gonzalez, Jordi}, year = {2019}, pages = {234-241}, DOI = {10.1109/ICSPCS47537.2019.9008460}, keywords = {Object detectors, Yolo, Spatio-Temporal Interest Point – STIP, Optical flow, Handball scenes}, doi = {10.1109/ICSPCS47537.2019.9008460}, isbn = {978-1-5386-2886-7}, title = {Active Player Detection in Handball Videos Using Optical Flow and STIPs Based Measures}, keyword = {Object detectors, Yolo, Spatio-Temporal Interest Point – STIP, Optical flow, Handball scenes}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Gold Coast, Australija} }
@article{article, author = {Iva\v{s}i\'{c}-Kos, Marina and Pobar, Miran and Gonzalez, Jordi}, year = {2019}, pages = {234-241}, DOI = {10.1109/ICSPCS47537.2019.9008460}, keywords = {Object detectors, Yolo, Spatio-Temporal Interest Point – STIP, Optical flow, Handball scenes}, doi = {10.1109/ICSPCS47537.2019.9008460}, isbn = {978-1-5386-2886-7}, title = {Active Player Detection in Handball Videos Using Optical Flow and STIPs Based Measures}, keyword = {Object detectors, Yolo, Spatio-Temporal Interest Point – STIP, Optical flow, Handball scenes}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Gold Coast, Australija} }

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