Zobrazeno 1 - 10
of 1 232
pro vyhledávání: '"Visual object tracking"'
Publikováno v:
Hangkong bingqi, Vol 31, Iss 3, Pp 40-50 (2024)
Visual object tracking is a fundamental problem in computer vision. It has been widely used in civilian and military fields, such as battlefield reconnaissance, video surveillance, automatic driving, video analysis, and many other areas. In recent ye
Externí odkaz:
https://doaj.org/article/a70f213ecd2245858b6aca63da4a4322
Publikováno v:
IEEE Access, Vol 12, Pp 154418-154425 (2024)
In visual object tracking, attention mechanisms can flexibly and efficiently handle complex dependencies and global information, which improves tracking accuracy. However, when dealing with scenarios that contain a large amount of background informat
Externí odkaz:
https://doaj.org/article/e09e26aafcd24657a8fe27054cff28c4
Publikováno v:
Drones, Vol 8, Iss 11, p 607 (2024)
Visual object tracking is widely adopted to unmanned aerial vehicle (UAV)-related applications, which demand reliable tracking precision and real-time performance. However, UAV trackers are highly susceptible to adversarial attacks, while research on
Externí odkaz:
https://doaj.org/article/56f3d39bfad2430f9c4a7ac9f68ff07f
Publikováno v:
Drones, Vol 8, Iss 8, p 343 (2024)
Siamese-based trackers have been widely utilized in UAV visual tracking due to their outstanding performance. However, UAV visual tracking encounters numerous challenges, such as similar targets, scale variations, and background clutter. Existing Sia
Externí odkaz:
https://doaj.org/article/0b9b343c1f644a21a12ca56d0ba20bff
Publikováno v:
Sensors, Vol 24, Iss 15, p 4911 (2024)
Visual object tracking, pivotal for applications like earth observation and environmental monitoring, encounters challenges under adverse conditions such as low light and complex backgrounds. Traditional tracking technologies often falter, especially
Externí odkaz:
https://doaj.org/article/0642753170d14fd6910a26d147817772
Autor:
Wei Zhang
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2023, Iss 1, Pp 1-21 (2023)
Abstract Correlation filter-based trackers have made significant progress in visual object tracking for various types of unmanned aerial vehicle (UAV) applications due to their promising performance and efficiency. However, the boundary effect remain
Externí odkaz:
https://doaj.org/article/6a2208ea7c0b450480fb68dfa4d2eef0
Publikováno v:
Remote Sensing, Vol 16, Iss 6, p 961 (2024)
Visual object tracking is a key technology that is used in unmanned aerial vehicles (UAVs) to achieve autonomous navigation. In recent years, with the rapid development of deep learning, tracking algorithms based on Siamese neural networks have recei
Externí odkaz:
https://doaj.org/article/38326752b57042059b48c657fce1a3a4
Publikováno v:
IET Image Processing, Vol 17, Iss 2, Pp 544-557 (2023)
Abstract Existing Siamese trackers usually do not update templates or adopt single‐updating strategies. However, historical information cannot be effectively utilized when using these strategies, and model drift from complex tracking challenges can
Externí odkaz:
https://doaj.org/article/a75be39d4dab4c899da333b3c7a420fa
Publikováno v:
IEEE Access, Vol 11, Pp 80297-80326 (2023)
Single-object tracking is a well-known and challenging research topic in computer vision. Over the last two decades, numerous researchers have proposed various algorithms to solve this problem and achieved promising results. Recently, Transformer-bas
Externí odkaz:
https://doaj.org/article/87f030ccfa0b40f2b21749d78f2eabf9
Autor:
Eli G. Pale-Ramon, Luis J. Morales-Mendoza, Mario Gonzalez-Lee, Oscar G. Ibarra-Manzano, Jorge A. Ortega-Contreras, Yuriy S. Shmaliy
Publikováno v:
IEEE Access, Vol 11, Pp 57905-57915 (2023)
A well-known problem of visual object tracking is the difficulty of accurately estimating the object trajectory under conditions of environmental disturbances in the bounding box (BB) of a video camera. In this paper, we consider BB variations as Gau
Externí odkaz:
https://doaj.org/article/82f3e9904c1b4f0099dde51dd571750d