Pregled bibliografske jedinice broj: 1159254
Detection of humans in drone images for search and rescue operations
Detection of humans in drone images for search and rescue operations // 2021 3rd Asia Pacific Information Technology Conference (APIT 2021)
New York (NY): Association for Computing Machinery (ACM), 2021. pp. 69-75, 6 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1159254 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Detection of humans in drone images for search and
rescue operations
Autori
Nayee, Dousai ; Lončarić, Sven
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
ISBN
978-1-4503-8810-8
Skup
2021 3rd Asia Pacific Information Technology Conference (APIT 2021)
Mjesto i datum
Bangkok, Tajland, 15.01.2021. - 17.01.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
deep-learning, human detection, HERIDAL dataset, search and rescue operation
Sažetak
Object detection has solved many problems in different applications like monitoring security, search and rescue operations, semantic segmentation, autonomous driving and so on. Despite this huge success rate in normal ground captured images, it is still a challenging task to detect humans or any other objects from the UAV(Unmanned Aerial Vehicle) captured images due to a few challenges like pose and scale variations, weather conditions, artefacts like people wearing hats, varying attitude and camouflaged environment. In this paper, we propose a novel approach for the detection of humans in aerial images, for search and rescue operations. This method explains how to train the existing high-resolution aerial database of HERIDAL. The EfficientDET deep neural network is trained using a newly generated database to solve the human detection problem. To the best of our knowledge, the proposed method has achieved the best accuracy of 93.29% mAP compared to all existing methods. The proposed method has been compared to the system used by Croatian Mountain search and rescue (SAR) teams (IPSAR) and also with the state-of-art proposed HERIDAL database paper which is based on extracting the salient features, which has slightly worse result compared to the results of this paper.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
EK-H2020-764951 - Uronjene vizualne tehnologije za sigurnosno kritične aplikacije (ImmerSAFE) (Lončarić, Sven, EK ) ( CroRIS)