Zobrazeno 1 - 10
of 9 631
pro vyhledávání: '"Re-Identification"'
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 306-313 (2024)
Computer vision approaches have been widely used in mobility tasks such as visitor counting, traffic analyisis, etc. The European General Data Protection Regulation (GDPR) enforces in-camera processing as storing and transmitting such data violates t
Externí odkaz:
https://doaj.org/article/c04646ec14be4278a0086e4335a6f107
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract To tackle the high resource consumption in occluded person re-identification, sparse attention mechanisms based on Vision Transformers (ViTs) have become popular. However, they often suffer from performance degradation with long sequences, o
Externí odkaz:
https://doaj.org/article/028048a0e2ee4199925daa3f68711cee
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract Clothes-Changing Person Re-Identification is a challenging problem in computer vision, primarily due to the appearance variations caused by clothing changes across different camera views. This poses significant challenges to traditional pers
Externí odkaz:
https://doaj.org/article/2e8ba9afc8fb474984f7eb0306c70674
Autor:
Le Dinh Thao, Hyorim Choi, Donghun Kang, Anbazhagan Mageswari, Daseul Lee, Dong-Hyun Kim, In-Young Choi, Hyeon-Dong Shin, Seung-Beom Hong
Publikováno v:
The Plant Pathology Journal, Vol 40, Iss 5, Pp 425-437 (2024)
A large number of species in the genus Colletotrichum have been reported as causal agents of anthracnose on crops and wild plants in Korea. Many Colletotrichum isolates from the country preserved in the Korean Agricultural Culture Collection (KACC) w
Externí odkaz:
https://doaj.org/article/ab5b502db34b4fd0ae1214dcff4f51bf
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 6, Pp 7777-7797 (2024)
Abstract Person Re-identification (Re-ID) technology aims to solve the matching problem of the same pedestrians at different times and places, which has important application value in the field of public safety. At present, most scholars focus on des
Externí odkaz:
https://doaj.org/article/a6ed5037ce494037836fa26da46ce04d
Autor:
Markus Eisenbach, Henning Franke, Erik Franze, Mona Köhler, Dustin Aganian, Daniel Seichter, Horst-Michael Gross
Publikováno v:
Automation, Vol 5, Iss 3, Pp 373-406 (2024)
Object detection is a crucial capability of autonomous agents for human–robot collaboration, as it facilitates the identification of the current processing state. In industrial scenarios, it is uncommon to have comprehensive knowledge of all the ob
Externí odkaz:
https://doaj.org/article/99e533fc7fdc4f72b88dc1126192a075
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 7, Pp 6694-6709 (2024)
In recent years, significant progress has been made in video-based person re-identification (Re-ID). The key challenge in video person Re-ID lies in effectively constructing discriminative and robust person feature representations. Methods based on l
Externí odkaz:
https://doaj.org/article/d08456d4eecf4aeda761cbadd5c503ce
Publikováno v:
Вестник Дагестанского государственного технического университета: Технические науки, Vol 51, Iss 2, Pp 120-127 (2024)
Objective. The article presents the results of a study of tracking algorithms for analyzing a basketball game. The purpose of the work is to determine the optimal method for using athlete tracking when used online.Method. The research is based on met
Externí odkaz:
https://doaj.org/article/c987270aa4824d3b98ea90f26312c271
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-43 (2024)
Abstract Person re-identification (ReID) aims to find the person of interest across multiple non-overlapping cameras. It is considered an essential step for person tracking applications which is vital for surveillance. Person ReID could be investigat
Externí odkaz:
https://doaj.org/article/e0e9db6978a749e28f4ba550e3179d4a
Autor:
Katharina Steeg, Evelyn Bohrer, Stefan Benjamin Schäfer, Viet Duc Vu, Jan Scherberich, Anton George Windfelder, Gabriele Anja Krombach
Publikováno v:
EClinicalMedicine, Vol 78, Iss , Pp 102930- (2024)
Summary: Background: Facial recognition software (FRS) has historically been perceived as lacking the capability to identify individuals from cross-sectional medical images. Utilising such data for identification purposes was considered infeasible du
Externí odkaz:
https://doaj.org/article/dd2802ab99b14aeb8066a684c32f574e