Naslov
Visual Object Detection - an Overview of Algorithms and Results

Autori
Gudelj, Darijan ; Stama, Ana-Francesca ; Petrović, Juraj ; Pale, Predrag

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

Izvornik
2021 Proceedings of the 44th International Convention / Skala, Karolj - , 2021, 1-1

Skup
44th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2021)

Mjesto i datum
Opatija, Hrvatska, 27.09.2021. - 01.10.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
object detection

Sažetak
Object detection is an active area of research with rapid growth in the number of new publications. It is a computer vision technique widely used in various domains and it forms a foundation for a variety of applications, such as face detection and autonomous driving. The precondition for successful object detection are efficient algorithms that are able to detect features related to a certain object in static or moving images and the processing power which ensures a fast execution. This paper provides an overview of the current most significant visual object detection algorithms, their essential features, their advantages, limitations, as well as datasets used for their training and evaluation. Based on the provided overview, this paper attempts to also recognize directions for further development and contribution to the area.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA