Zobrazeno 1 - 10
of 2 342
pro vyhledávání: '"Multiple-object tracking"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract This study compared the multiple object tracking (MOT) performance of athletes vs. non-athletes and expert athletes vs. novice athletes by systematically reviewing and meta-analyzing the literature. A systematic literature search was conduct
Externí odkaz:
https://doaj.org/article/10282d3049944e468c61bb65c4ca3bd7
Autor:
Wei Xiao, Zhidong Jiang
Publikováno v:
BMC Psychology, Vol 12, Iss 1, Pp 1-11 (2024)
Abstract Background The present study aims to investigate the potential impact of eight sessions of Multiple Object Tracking (MOT) training on the executive function in basketball players. The purpose of the study was primarily to observe the effects
Externí odkaz:
https://doaj.org/article/4ec6b9758d1e4f0080cd3b564384e7f5
Publikováno v:
Journal of Information Display, Vol 25, Iss 3, Pp 271-293 (2024)
This article systematically evaluates and models how brightness affects performance in Multiple Object Tracking (MOT) within screen-based environments. MOT proficiency is essential across various fields, and comprehending the elements that impact MOT
Externí odkaz:
https://doaj.org/article/95e5112950434c1998318354ff9fc446
Autor:
Hai T. Ton, Hung V. Nguyen, Hanh T. M. Tran, Tien V. Thai, Phong-Phu Le, Tung T. Huynh, Duy-Tuan Dao
Publikováno v:
Tạp chí Khoa học và Công nghệ, Pp 32-39 (2024)
This study evaluates the effectiveness of various detection-based object-tracking algorithms to optimize accuracy and efficiency in traffic flow monitoring. Due to its high accuracy in detecting objects, YOLOv8 was chosen as the vehicle detector for
Externí odkaz:
https://doaj.org/article/bec08311c9a045568aac1e119e38cc52
Publikováno v:
IEEE Access, Vol 12, Pp 130413-130424 (2024)
The demand for smart surveillance systems has been driven by the ubiquity of cameras in modern society. Among the crucial tasks in such systems, person re-identification (re-ID) and multiple object tracking (MOT) are paramount. Despite the common pho
Externí odkaz:
https://doaj.org/article/d3a4ad13a5184d35a39f7c059f7bb3b7
Publikováno v:
IEEE Access, Vol 12, Pp 82897-82910 (2024)
Real-time multiple object tracking plays a pivotal role in autonomous driving applications, particularly in real-world applications. Current methods in various domains often face an inherent trade-off between accuracy and speed. This dilemma arises f
Externí odkaz:
https://doaj.org/article/62659d63b55b4097973c849b891cab89
Learning to Track With Dynamic Message Passing Neural Network for Multi-Camera Multi-Object Tracking
Publikováno v:
IEEE Access, Vol 12, Pp 63317-63333 (2024)
Multi-camera multi-object tracking (MC-MOT) has become pivotal in various real-world applications within computer vision. Despite extensive research, solving the data association problem remains one of the most formidable challenges in MC-MOT pipelin
Externí odkaz:
https://doaj.org/article/3161381a43a64a458ceb0cc84747518f
Publikováno v:
Sensors, Vol 24, Iss 18, p 6015 (2024)
Multi-object tracking tasks aim to assign unique trajectory codes to targets in video frames. Most detection-based tracking methods use Kalman filtering algorithms for trajectory prediction, directly utilizing associated target features for trajector
Externí odkaz:
https://doaj.org/article/394b61126cb94abbb322d92ed2dd0d92
Autor:
Ki-In Na, Byungjae Park
Publikováno v:
ETRI Journal, Vol 45, Iss 5, Pp 836-846 (2023)
Mobile robots are used in modern life; however, object recognition is still insufficient to realize robot navigation in crowded environments. Mobile robots must rapidly and accurately recognize the movements and shapes of pedestrians to navigate safe
Externí odkaz:
https://doaj.org/article/32f369d627cd42d7b55a68670787eb19
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