Object Detection in Sports Videos (CROSBI ID 662731)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Burić, Matija ; Pobar, Miran ; Ivašić-Kos, Marina
engleski
Object Detection in Sports Videos
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.
object detectors ; sports scenes ; Mixture of Gaussians ; YOLO ; Mask R-CNN
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Podaci o prilogu
200-206.
2018.
objavljeno
10.23919/MIPRO.2018.8400189
Podaci o matičnoj publikaciji
Proceedings of 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
Biljanović, Petar (ur.).
Opatija: Institute of Electrical and Electronics Engineers (IEEE)
Podaci o skupu
MIPRO 2018
predavanje
21.05.2018-25.05.2018
Opatija, Hrvatska
Povezanost rada
Informacijske i komunikacijske znanosti, Računarstvo