SoccerNet game state reconstruction: End-to-end athlete tracking and identification on a minimap
Tracking and identifying athletes on the pitch holds a central role in collecting essential
insights from the game such as estimating the total distance covered by players or …
insights from the game such as estimating the total distance covered by players or …
An online approach and evaluation method for tracking people across cameras in extremely long video sequence
Abstract Multi-camera Multi-Object Tracking has drawn significant attention in recent years
due to its critical role in surveillance analytics and related fields. Various challenges …
due to its critical role in surveillance analytics and related fields. Various challenges …
Sea you later: Metadata-guided long-term re-identification for uav-based multi-object tracking
Re-identification (ReID) in multi-object tracking (MOT) for UAVs in maritime computer vision
has been challenging for several reasons. More specifically, short-term re-identification …
has been challenging for several reasons. More specifically, short-term re-identification …
Basketball-SORT: an association method for complex multi-object occlusion problems in basketball multi-object tracking
Recent deep learning-based object detection approaches have led to significant progress in
multi-object tracking (MOT) algorithms. The current MOT methods mainly focus on …
multi-object tracking (MOT) algorithms. The current MOT methods mainly focus on …
Ai-based sports highlight generation for social media
Social media plays a significant role for sports organizations with millions of active fans, but
publishing highlights is often a tedious manual operation. With the development of AI, new …
publishing highlights is often a tedious manual operation. With the development of AI, new …
Playertv: Advanced player tracking and identification for automatic soccer highlight clips
HM Solberg, MH Sarkhoosh, S Gautam… - arXiv preprint arXiv …, 2024 - arxiv.org
In the rapidly evolving field of sports analytics, the automation of targeted video processing
is a pivotal advancement. We propose PlayerTV, an innovative framework which harnesses …
is a pivotal advancement. We propose PlayerTV, an innovative framework which harnesses …
Exploring Learning-based Motion Models in Multi-Object Tracking
In the field of multi-object tracking (MOT), traditional methods often rely on the Kalman Filter
for motion prediction, leveraging its strengths in linear motion scenarios. However, the …
for motion prediction, leveraging its strengths in linear motion scenarios. However, the …
Enhanced Multi-Object Tracking Using Pose-based Virtual Markers in 3x3 Basketball
L Yin, C Yeung, Q Hu, J Ichikawa, H Azechi… - arXiv preprint arXiv …, 2024 - arxiv.org
Multi-object tracking (MOT) is crucial for various multi-agent analyses such as evaluating
team sports tactics and player movements and performance. While pedestrian tracking has …
team sports tactics and player movements and performance. While pedestrian tracking has …
Optimization of feature association strategies in multi-target tracking based on light field images
JN Zhu, MZ Wang, ZX Zhang, C Jia, XB Geng, F Shi - Measurement, 2025 - Elsevier
Multi-object tracking (MOT) occupies an important position in the field of computer vision and
has broad application prospects. One of the main challenges lies in extracting effective ReID …
has broad application prospects. One of the main challenges lies in extracting effective ReID …
GTA: Global Tracklet Association for Multi-Object Tracking in Sports
Multi-object tracking in sports scenarios has become one of the focal points in computer
vision, experiencing significant advancements through the integration of deep learning …
vision, experiencing significant advancements through the integration of deep learning …