Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science
Until recently tactical analysis in elite soccer were based on observational data using
variables which discard most contextual information. Analyses of team tactics require …
variables which discard most contextual information. Analyses of team tactics require …
Multiple object tracking: A literature review
Abstract Multiple Object Tracking (MOT) has gained increasing attention due to its academic
and commercial potential. Although different approaches have been proposed to tackle this …
and commercial potential. Although different approaches have been proposed to tackle this …
Soccernet-tracking: Multiple object tracking dataset and benchmark in soccer videos
Tracking objects in soccer videos is extremely important to gather both player and team
statistics, whether it is to estimate the total distance run, the ball possession or the team …
statistics, whether it is to estimate the total distance run, the ball possession or the team …
Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation
G Papandreou, LC Chen… - Proceedings of the …, 2015 - openaccess.thecvf.com
Deep convolutional neural networks (DCNNs) trained on a large number of images with
strong pixel-level annotations have recently significantly pushed the state-of-art in semantic …
strong pixel-level annotations have recently significantly pushed the state-of-art in semantic …
A comprehensive review of computer vision in sports: Open issues, future trends and research directions
Recent developments in video analysis of sports and computer vision techniques have
achieved significant improvements to enable a variety of critical operations. To provide …
achieved significant improvements to enable a variety of critical operations. To provide …
Game Plan: What AI can do for Football, and What Football can do for AI
The rapid progress in artificial intelligence (AI) and machine learning has opened
unprecedented analytics possibilities in various team and individual sports, including …
unprecedented analytics possibilities in various team and individual sports, including …
ReMOT: A model-agnostic refinement for multiple object tracking
Although refinement is commonly used in visual tasks to improve pre-obtained results, it has
not been studied for Multiple Object Tracking (MOT) tasks. This could be attributed to two …
not been studied for Multiple Object Tracking (MOT) tasks. This could be attributed to two …
Detecting events and key actors in multi-person videos
Multi-person event recognition is a challenging task, often with many people active in the
scene but only a small subset contributing to an actual event. In this paper, we propose a …
scene but only a small subset contributing to an actual event. In this paper, we propose a …
stagnet: An attentive semantic rnn for group activity recognition
Group activity recognition plays a fundamental role in a variety of applications, eg sports
video analysis and intelligent surveillance. How to model the spatio-temporal contextual …
video analysis and intelligent surveillance. How to model the spatio-temporal contextual …
Multi-camera multi-player tracking with deep player identification in sports video
Identity switches caused by inter-object interactions remain a critical problem for multi-player
tracking in real-world sports video analysis. Existing approaches utilizing the appearance …
tracking in real-world sports video analysis. Existing approaches utilizing the appearance …