Naslov
Object Detection in Sports Videos

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 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) / Biljanović, Petar (ur.). - Opatija, Hrvatska : Mipro, 2018, 200-206

Skup
41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

Mjesto i datum
Opatija, Hrvatska, 21-25.05.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Object detectors ; sports scenes ; Mixture of Gaussians ; YOLO ; Mask R-CNN

Sažetak
Object detection is commonly used in many computer vision applications. In our case, we need to apply the object detector as a prerequisite for action recognition in handball scenes. Object detection, to be successful for this task, should be as accurate as possible and should be able to deal with a different number of objects of various sizes, partially occluded, with bad illumination and deal with cluttered scenes. The aim of this paper is to provide an overview of the current state-of- the-art detection methods that rely on convolutional neural networks (CNNs) and test their performance on custom video sports materials acquired during handball training and matches. The comparison of the detector performance in different conditions will be given and discussed.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti

POVEZANOST RADA