There is a growth of demand for automatically analyzing soccer matches and tactics. Since
players are the focus of attentions in soccer matches, player tracking is a fundamental …

Camera calibration has attracted much attention, as a primary step of various soccer game
analyses, such as real-world player tracking and offside detection. Moreover, metric …

Sports video analysis has received special attention from researchers due to its high
popularity and general interest on semantic analysis. Hence, soccer videos represent an …

The paper describes a deep neural network-based detector dedicated for ball and players
detection in high resolution, long shot, video recordings of soccer matches. The detector …

This paper presents a state of the art review of features extraction for soccer video
summarization research. The all existing approaches with regard to event detection, video …

A ball detection and tracking approach in real soccer game is proposed in this paper. In view
of difficulties of direct detection, an indirect strategy based on non-ball elimination is applied …

In this paper, we propose a novel and effective algorithm for tracking soccer players in goal
scenes, by eliminating fast camera motions effect through the correspondence between line …

The main task of football video analysis is to detect and track players. In this work, we
propose a deep convolutional neural network‐based football video analysis algorithm. This …

The purpose of this article is to analyze current vision-based systems from a soccer video
semantic point of view such as video summarization, features analysis, and provision of …

Football matches have a high degree of attention and the analysis technology used for video
contents has important practical significance and good application prospects. However, due …