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 - 2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018 / - Las Vegas (NV), 2018, 319-323

ISBN
978-172811360-9

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

Mjesto i datum
Las Vegas (NV), Sjedinjene Američke Države, 13.12.2018. - 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