Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Karla Brkić"'
Publikováno v:
Algorithms, Vol 16, Iss 6, p 285 (2023)
Many real-world applications of the vehicle routing problem (VRP) are arising today, which range from physical resource planning to virtual resource management in the cloud computing domain. A common trait of these applications is usually the large s
Externí odkaz:
https://doaj.org/article/624f42f1a17343ceae24fa0701de7582
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 21:336-345
Visual cues can be used alongside GPS positioning and digital maps to improve understanding of vehicle environment in fleet management systems. Such systems are limited both in terms of bandwidth and storage space, so minimizing the size of transmitt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47c559bd44bdf745c821d6beb71902cf
https://doi.org/10.1109/tits.2019.2891995
https://doi.org/10.1109/tits.2019.2891995
Publikováno v:
IET Signal Processing. 11:1062-1068
The authors introduce a system for person de- identification in video data that de-identifies biometric and non-biometric features, namely faces, hairstyles and clothing colours. The authors’ system detects human faces and silhouettes in the input
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3234a4160e90f365097a79a4ae451cc4
https://doi.org/10.1049/iet-spr.2017.0048
https://doi.org/10.1049/iet-spr.2017.0048
Publikováno v:
Expert Systems with Applications. 87:41-55
We propose a computer vision-based de-identification pipeline that enables automated protection of privacy of humans in video sequences through obfuscating their appearance, while preserving the naturalness and utility of the de-identified data. Our
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b29d95ec4119fce182dd32861675f3e
https://doi.org/10.1016/j.eswa.2017.05.067
https://doi.org/10.1016/j.eswa.2017.05.067
Acute and chronic neck pain are common medical conditions, and the treatment typically includes physical therapy involving daily exercises. Insufficient motivation of people afflicted with neck pain to adhere to the prescribed exercise regimen may de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23ea1d6d421b43bc750fbd5fb4ab2d86
https://www.bib.irb.hr/904407
https://www.bib.irb.hr/904407
Publikováno v:
CVPR Workshops
We propose a model for full body and face de- identification of humans in images. Given a segmentation of the human figure, our model generates a synthetic human image with an alternative appearance that looks natural and fits the segmentation outlin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44327d9e3ead23ceb21782abe676c42b
https://doi.org/10.1109/cvprw.2017.173
https://doi.org/10.1109/cvprw.2017.173
Publikováno v:
MIPRO
Our experiences in teaching digital circuit design at university level indicate that students find it difficult to understand programmable logic devices (PLDs) such as PALs, PLAs, GALs and FPGAs. This is mainly due to the complexity of the topic and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15dd273737a8741e9e4ba9a4b76ecb62
https://www.bib.irb.hr/883272
https://www.bib.irb.hr/883272
Publikováno v:
IEEE Access, Vol 11, Pp 14282-14292 (2023)
Automated age estimation from face images is the process of assigning either an exact age or a specific age range to a facial image. In this paper a comparative study of the current techniques suitable for this task is performed, with an emphasis on
Externí odkaz:
https://doaj.org/article/96d9133e618143bf89750988f5e6250d
Publikováno v:
Biomedical Signal Processing and Control. 53:101583
Objectives The aim of this work is to investigate the accuracy limits of automated detection of congestive heart failure (CHF) from short-term heart rate variability (HRV) series. Short-term HRV analysis uses 5-minute segments from HRV recordings to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34098827f85ea39fe7536dbb3cb52383
https://doi.org/10.1016/j.bspc.2019.101583
https://doi.org/10.1016/j.bspc.2019.101583
Publikováno v:
IPTA
We propose a computer vision-based de- identification pipeline that enables automated segmentation of humans in videos and effective protection of their identities. Due to the ubiquity of video surveillance, many jurisdictions implement strict regula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b75601fd1be226d54befcc4a66c07f1
https://doi.org/10.1109/ipta.2016.7820987
https://doi.org/10.1109/ipta.2016.7820987