Online Multiple Athlete Tracking with Pose-Based Long-Term Temporal Dependencies

Autor: Longteng Kong, Mengxiao Zhu, Nan Ran, Qingjie Liu, Rui He

Publikováno v: Sensors, Vol 21, Iss 1, p 197 (2020)

This paper addresses the Multi-Athlete Tracking (MAT) problem, which plays a crucial role in sports video analysis. There exist specific challenges in MAT, e.g., athletes share a high similarity in appearance and frequently occlude with each other, m

Externí odkaz: https://doaj.org/article/ebbcaddc4de64029b4117dc28f1a9867

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Online Multiple Athlete Tracking with Pose-Based Long-Term Temporal Dependencies.

Autor: Kong L; School of Computer Science and Engineering, Beihang University, Beijing 100191, China., Zhu M; State Key Laboratory of Software Development Environment, Beihang University, Beijing 100191, China., Ran N; School of Computer Science and Engineering, Beihang University, Beijing 100191, China., Liu Q; Hangzhou Innovation Institute, Beihang University, Hangzhou 310000, China., He R; School of Computer Science and Engineering, Beihang University, Beijing 100191, China.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2020 Dec 30; Vol. 21 (1). Date of Electronic Publication: 2020 Dec 30.