Napredna pretraga

Pregled bibliografske jedinice broj: 999082

Ball Detection using Yolo and Mask R-CNN


Burić, Matija; Pobar, Miran; Ivašić-Kos, Marina
Ball Detection using Yolo and Mask R-CNN // Proceedings of The 2018 International Conference on Computational Science and Computational Intelligence (CSCI’18)
Las Vegas, 2018. str. 319-323 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Ball Detection using Yolo and Mask R-CNN

Autori
Burić, Matija ; Pobar, Miran ; Ivašić-Kos, Marina

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

Izvornik
Proceedings of The 2018 International Conference on Computational Science and Computational Intelligence (CSCI’18) / - Las Vegas, 2018, 319-323

Skup
2018 International Conference on Computational Science and Computational Intelligence (CSCI)

Mjesto i datum
Las Vegas, SAD, 13-15.12.2018.

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Action recognition ; object detection ; ball detection

Sažetak
Many computer vision applications rely on accurate and fast object detection, and in our case, ball detection serves as a prerequisite for action recognition in handball scenes. We compare the performance of two of the state-of-the-art convolutional neural network-based object detectors for the task of ball detection in non-staged, real-world conditions. The comparison is performed in terms of speed and accuracy measures on a dataset comprising custom handball footage and a sample of images obtained from the Internet. The performance of the models is compared with and without additional training with examples from our dataset.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekt / tema
HRZZ-IP-2016-06-8345 - Automatsko raspoznavanje akcija i aktivnosti u multimedijalnom sadržaju iz domene sporta (Marina Ivašić-Kos, )

Ustanove
Sveučilište u Rijeci - Odjel za informatiku