Zobrazeno 1 - 10
of 1 893
pro vyhledávání: '"tracking algorithm"'
Autor:
B. Cheraghi, Sh. Vakilipour
Publikováno v:
مهندسی مکانیک شریف, Vol 40, Iss 1, Pp 97-110 (2024)
In the present study, for the first time, a finite volume coupled solver is developed for the simultaneous numerical solving of two-phase incompressible fluid flow equations at low Reynolds numbers, and for solving the the interface position equation
Externí odkaz:
https://doaj.org/article/d3964d90005441f781b7bb5329eb7e48
Autor:
Adkins, Vincent James
Equatorial plasma bubbles (EPBs) are large structures consisting of depleted plasma that generally form on the nightside of Earth's ionosphere along magnetic field lines in the upper thermosphere/ionosphere. While referred to as `bubbles', EPBs tend
Externí odkaz:
https://hdl.handle.net/10919/119487
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
The movement of glaciers plays a crucial role in environmental and geological processes, significantly influencing the formation and dynamics of ice bodies. This study leverages feature tracking technology to analyze optical and Synthetic Aperture Ra
Externí odkaz:
https://doaj.org/article/7a450e3d179d43de97ca7fbcb8c492ff
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8199 (2024)
Single-object tracking algorithms based on Siamese full convolutional networks have attracted much attention from researchers owing to their improvement in precision and speed. Since this tracking model only learns a similarity model offline, it is n
Externí odkaz:
https://doaj.org/article/37498926496549d381a715b9477794c1
Publikováno v:
International Journal of Mining Science and Technology, Vol 33, Iss 9, Pp 1117-1130 (2023)
Users of the digital image correlation method are faced with the problem of poor operability, low repeatability, and lack of standardized specifications for spraying speckles. To solve the problem, the research proposed a rock deformation measurement
Externí odkaz:
https://doaj.org/article/435f46ef1963438682d0f4f2ee8cfebb
Publikováno v:
Journal of Management Science and Engineering, Vol 8, Iss 3, Pp 398-412 (2023)
Pedestrian group detection is a challenging but significant issue in pedestrian flow control and public safety management. To address the issue that most conventional pedestrian grouping models (PGMs) can only identify a pedestrian group at a limited
Externí odkaz:
https://doaj.org/article/ec80b4ab99454e9d89e68829b7b2757b
Autor:
Tian Yujie, Cao Di
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 2, Pp 95-106 (2023)
In the past few decades, target tracking algorithm has been paid great attention by peers at home and abroad in the field of computer vision because of its potential for in-depth research and practical value. Typical applications of target tracking a
Externí odkaz:
https://doaj.org/article/91ec5347b51f4c1e9cb81eec04ade9f0
Autor:
He Jun
Publikováno v:
Nonlinear Engineering, Vol 12, Iss 1, Pp 843-61 (2023)
In order to better realize the secret-related information monitoring system, an algorithm based on a nonlinear network is proposed and is combined with the traditional algorithm. This article mainly analyzes the theory of nonlinear networks, designs
Externí odkaz:
https://doaj.org/article/40e55cce31734ada8f3c2bda179e8be8
Autor:
Shao Yonghong
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Combined with the modern development form of traditional cultural and creative design, this paper proposes to use digital art elements to assist traditional cultural and creative design. The symbols of cultural and creative design are extracted using
Externí odkaz:
https://doaj.org/article/efc3a92fa1074f438760be2fc8ea143a
Autor:
Su Xin
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Spanish folk music is characterized primarily by folk song tunes, dance rhythms, and folk instrumental music. This paper combines the understanding of the artistic expression of “7 Spanish Folk Songs” and “Don Quixote to the Intended One” mus
Externí odkaz:
https://doaj.org/article/d1975073bdad47aa8f85060c8decae84