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An Investigation Into the Feasibility of Real-Time Soccer Offside Detection From a Multiple Camera System

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TLDR
The whole system has been validated using real-time images acquired during official soccer matches, and quantitative results on the system accuracy were obtained comparing the system responses with the ground truth data generated manually on a number of extracted significant sequences.
Abstract
In this paper, we investigate on the feasibility of multiple camera system for automatic offside detection. We propose six fixed cameras, properly placed on the two sides of the soccer field (three for each side) to reduce perspective and occlusion errors. The images acquired by the synchronized cameras are processed to detect the players' position and the ball position in real-time; a multiple view analysis is carried out to evaluate the offside event, considering the position of all the players in the field, determining the players who passed the ball, and determining if active offside condition occurred. The whole system has been validated using real-time images acquired during official soccer matches, and quantitative results on the system accuracy were obtained comparing the system responses with the ground truth data generated manually on a number of extracted significant sequences.

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Journal ArticleDOI

A review of vision-based systems for soccer video analysis

Tiziana D'Orazio, +1 more
- 01 Aug 2010 - 
TL;DR: A survey of soccer video analysis systems for different applications: video summarization, provision of augmented information, high-level analysis, and for each application area the computer vision methodologies, their strengths and weaknesses are analyzed.
Journal ArticleDOI

A survey on player tracking in soccer videos

TL;DR: This paper presents the state-of-the-art in preprocessing and processing methods for soccer player tracking, categorize different approaches, analyze their strengths and weaknesses, review evaluation criteria and conclude future research directions.
Journal ArticleDOI

Event Detection and Summarization in Soccer Videos Using Bayesian Network and Copula

TL;DR: A novel Bayesian network-based method that is capable of detecting seven different events in soccer videos; namely, goal, card, goal attempt, corner, foul, offside, and nonhighlights is proposed.
Journal ArticleDOI

Features extraction for soccer video semantic analysis: current achievements and remaining issues

TL;DR: The all existing approaches with regard to event detection, video summarization based on video stream and application of text sources in event detection have been surveyed and different computer vision approaches are discussed and compared.
Journal ArticleDOI

Ball tracking in sports: a survey

TL;DR: An exhaustive survey of all the published research works on ball tracking in a categorical manner is presented to present discussions on the published work so far and views and opinions followed by a modified block diagram of the tracking process.
References
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Journal ArticleDOI

Recursive unsupervised learning of finite mixture models

TL;DR: An online (recursive) algorithm is proposed that estimates the parameters of the mixture and that simultaneously selects the number of components to search for the maximum a posteriori (MAP) solution and to discard the irrelevant components.

A novel method for video tracking performance evaluation

TL;DR: A novel framework for performance evaluation using pseudo-synthetic video, which employs data captured online and stored in a surveillance database to evaluate the performance of video surveillance tracking systems.

Advances in Cooperative Multi-Sensor Video Surveillance

TL;DR: The objective is to develop a cooperative, multi-sensor video surveillance system that provides continuous coverage over battle eld areas and achievements have been demonstrated during VSAM Demo I.
Journal ArticleDOI

Color image segmentation by pixel classification in an adapted hybrid color space: application to soccer image analysis

TL;DR: An original approach in order to improve the results of color image segmentation by pixel classification by classify pixels represented in the hybrid color space which is specifically designed to yield the best discrimination between the pixel classes.
Journal ArticleDOI

Semantic analysis of soccer video using dynamic Bayesian network

TL;DR: A semantic analysis system based on Bayesian network (BN) and dynamic Bayesiannetwork (DBN) that can identify the special events in soccer games such as goal event, corner kick event, penaltyKick event, and card event is introduced.
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