Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Tomislav Hrkac"'
Publikováno v:
IEEE Access, Vol 11, Pp 140382-140394 (2023)
Hand gesture recognition is a rapidly expanding field with diverse applications, and the use of skeleton-based methods is gaining popularity due to their potential for lightweight execution on embedded devices. However, ensuring robustness and accura
Externí odkaz:
https://doaj.org/article/9aedf3cf5aa84423a124b737a6cc1687
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
We consider the problem of tracking football players in video captured from one side of the football field. The task is challenging due to frequent occlusions of players, varying size of players’ projections, changing illumination and similar appea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e5de87a8633f2cfcbd0af659df114e7
https://www.bib.irb.hr/1242307
https://www.bib.irb.hr/1242307
Image and video data of people, shared voluntarily and involuntarily, is ubiquitous. There is an increased need for techniques that enable privacy protection via removal of personally identifiable information in such data, spurred by regulatory inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9353ad50152ddee3ba439ea69377b88
https://www.bib.irb.hr/1242301
https://www.bib.irb.hr/1242301
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
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:
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
Publikováno v:
SPLINE
The widespread use of video recording devices to obtain recordings of people in various scenarios makes the problem of privacy protection increasingly important. Consequently, there is an increased interest in developing methods for de-identification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ecc68390992ee4f36c958230276583a
https://doi.org/10.1109/splim.2016.7528402
https://doi.org/10.1109/splim.2016.7528402
Publikováno v:
SPLINE
In this paper, we propose a two-stage model for unconstrained face detection. The first stage is based on the normalized pixel difference (NPD) method, and the second stage uses the deformable part model (DPM) method. The NPD method applied to in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcbe9f90c8e21b4af202dd425ee1bacb
https://doi.org/10.1109/splim.2016.7528404
https://doi.org/10.1109/splim.2016.7528404