Pregled bibliografske jedinice broj: 1090326
Detecting Objects in Drone Imagery: a Brief Overview of Recent Progress
Detecting Objects in Drone Imagery: a Brief Overview of Recent Progress // Proceedings of MIPRO 2020, 43rd International Convention / Skala, Karolj (ur.).
Opatija: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2020. str. 1296-1301 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1090326 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Detecting Objects in Drone Imagery: a Brief Overview
of Recent Progress
Autori
Sambolek, Sasa ; Ivasic-Kos, Marina
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of MIPRO 2020, 43rd International Convention
/ Skala, Karolj - Opatija : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2020, 1296-1301
Skup
43nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2020)
Mjesto i datum
Opatija, Hrvatska, 28.09.2020. - 02.10.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
drone dataset ; object detection ; CNN
Sažetak
Detecting objects on unmanned aerial vehicle (Drones) imagery is a challenging task and an underresearched problem that lately receives more and more attention in the research community. When shooting with a drone, not only the weather and the light conditions change, but the shooting height and angle change as well because the position of the camera is not fixed during shooting. The paper aims to describe the possibility of using drones in search and rescue operations and to provide a comprehensive overview of the area related to the detection of persons in drone imagery. The paper includes a description of publicly available datasets and a comparison of the state-of-the-art models for person detection in drone recordings and ends with a proposal for future research.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
HRZZ-IP-2016-06-8345 - Automatsko raspoznavanje akcija i aktivnosti u multimedijalnom sadržaju iz domene sporta (RAASS) (Ivašić Kos, Marina, HRZZ - 2016-06) ( CroRIS)
Ustanove:
Fakultet informatike i digitalnih tehnologija, Rijeka
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Science (CPCI-S)
- Scopus