Zobrazeno 1 - 10
of 7 852
pro vyhledávání: '"person tracking"'
Pursuing natural and marker-less human-robot interaction (HRI) has been a long-standing robotics research focus, driven by the vision of seamless collaboration without physical markers. Marker-less approaches promise an improved user experience, but
Externí odkaz:
http://arxiv.org/abs/2406.01832
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Nalaie, Keivan, Zheng, Rong
In this paper, we introduce MVSparse, a novel and efficient framework for cooperative multi-person tracking across multiple synchronized cameras. The MVSparse system is comprised of a carefully orchestrated pipeline, combining edge server-based model
Externí odkaz:
http://arxiv.org/abs/2312.15858
Autor:
Akola, Denis Mbey
This paper presents a study of two tracking algorithms (SORT~\cite{7533003} and Tracktor++~\cite{2019}) that were ranked first positions on the MOT Challenge leaderboard (The MOTChallenge web page: https://motchallenge.net ). The purpose of this stud
Externí odkaz:
http://arxiv.org/abs/2310.04825
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Multi-object tracking (MOT) has profound applications in a variety of fields, including surveillance, sports analytics, self-driving, and cooperative robotics. Despite considerable advancements, existing MOT methodologies tend to falter when faced wi
Externí odkaz:
http://arxiv.org/abs/2312.11929
The growing need for video surveillance in public spaces has created a demand for systems that can track individuals across multiple cameras feeds in real-time. While existing tracking systems have achieved impressive performance using deep learning
Externí odkaz:
http://arxiv.org/abs/2309.13387
Autor:
Kwon, Hyeokhyen, Hedge, Chaitra, Kiarashi, Yashar, Madala, Venkata Siva Krishna, Singh, Ratan, Nakum, ArjunSinh, Tweedy, Robert, Tonetto, Leandro Miletto, Zimring, Craig M., Clifford, Gari D.
Localization of individuals in a built environment is a growing research topic. Estimating the positions, face orientation (or gaze direction) and trajectories of people through space has many uses, such as in crowd management, security, and healthca
Externí odkaz:
http://arxiv.org/abs/2305.05062
Publikováno v:
Computational Visual Media, Vol 10, Iss 1, Pp 137-160 (2023)
Abstract Despite significant developments in 3D multi-view multi-person (3D MM) tracking, current frameworks separately target footprint tracking, or pose tracking. Frameworks designed for the former cannot be used for the latter, because they direct
Externí odkaz:
https://doaj.org/article/72ef66a837574b56b534bc3228dc1c23
Autor:
Yang, Fan, Odashima, Shigeyuki, Yamao, Sosuke, Fujimoto, Hiroaki, Masui, Shoichi, Jiang, Shan
Publikováno v:
Computational Visual Media, 2023
Although there is a significant development in 3D Multi-view Multi-person Tracking (3D MM-Tracking), current 3D MM-Tracking frameworks are designed separately for footprint and pose tracking. Specifically, frameworks designed for footprint tracking c
Externí odkaz:
http://arxiv.org/abs/2302.03820