Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Zoran Kalafatić"'
Publikováno v:
Sensors, Vol 24, Iss 4, p 1248 (2024)
Standard machine learning is unable to accommodate inputs which do not belong to the training distribution. The resulting models often give rise to confident incorrect predictions which may lead to devastating consequences. This problem is especially
Externí odkaz:
https://doaj.org/article/1e0f819a0d6d46c58b7b716cc7615056
Publikováno v:
Sensors, Vol 24, Iss 2, p 693 (2024)
The term out-of-stock (OOS) describes a problem that occurs when shoppers come to a store and the product they are seeking is not present on its designated shelf. Missing products generate huge sales losses and may lead to a declining reputation or t
Externí odkaz:
https://doaj.org/article/f896877c37554a0f873cd8e4a7ddefe6
Publikováno v:
Data, Vol 8, Iss 9, p 136 (2023)
This data description introduces a comprehensive knowledge graph (KG) dataset with detailed information about the relevant high-level semantics of visual stimuli used to induce emotional states stored in the Nencki Affective Picture System (NAPS) rep
Externí odkaz:
https://doaj.org/article/64df8c7127f844e0b31f1a1b3ab367b0
Hand gesture recognition from skeleton data has recently gained popularity due to the broad areas of application and availability of adequate input devices. However, before utilising this technology in real-world conditions there are still many chall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1233661e28d4b9ea7f9245d79983fc89
https://doi.org/10.5220/0011663200003417
https://doi.org/10.5220/0011663200003417
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:
Ad Hoc Networks. 49:29-41
Data-intensive wireless sensor applications, such as remote visual inspection using high-resolution video sensors, require a special design approach in order to save energy and prolong lifetime of a battery-powered wireless sensor node. This study is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::335817ccc71532585b9798e419490bc7
https://doi.org/10.1016/j.adhoc.2016.06.004
https://doi.org/10.1016/j.adhoc.2016.06.004
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:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783319615622
S-CUBE
S-CUBE
High resolution image handling often results with high energy burden for battery-powered devices, such as sensor nodes in WSN. Motivation for this study is assessment of energy consumption of the sensor node with high-resolution camera, featuring ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69ac672b2bb5d55a8c1b49c125ee8c93
https://doi.org/10.1007/978-3-319-61563-9_10
https://doi.org/10.1007/978-3-319-61563-9_10
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