arXiv:2105.10700
Soccer Player Tracking in Low Quality Video
원문 초록
In this paper we propose a system capable of tracking multiple soccer players in different types of video quality. The main goal, in contrast to most state-of-art soccer player tracking systems, is the ability of execute effectively tracking in videos of low-quality. We adapted a state-of-art Multiple Object Tracking to the task. In order to do that adaptation, we created a Detection and a Tracking Dataset for 3 different qualities of video. The results of our system are conclusive of its high performance.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection
History-Aware Transformation of ReID Features for Multiple Object Tracking
OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with Transformer
Heterogeneous Graph Transformer for Multiple Tiny Object Tracking in RGB-T Videos
Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Motion Similarity
GTA: Global Tracklet Association for Multi-Object Tracking in Sports
토론
이 논문과 연결된 포럼 글이 아직 없습니다.