Football players and ball tracking using monocular camera for tactics analysis

Hirokatsu Kataoka; Yoshimitsu Aoki

Football players and ball tracking using monocular camera for tactics analysis

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, we propose a method to track multiple players and ball in a football video which is captured by monocular camera. In the case of capturing the video from a single view, there might be a lot of occluded situations of players. To overcome this problem, we propose a robust tracking method for multiple players by combining Particle Filter and Classifier. In this method, we apply Homography to extract player's position on the pitch.

Original language	English
Pages (from-to)	152-159
Number of pages	8
Journal	Journal of the Institute of Image Electronics Engineers of Japan
Volume	41
Issue number	2
Publication status	Published - 2012

Keywords

CoHOG
Homography
Particle filter
Real AdaBoost
Tracking

ASJC Scopus subject areas

Computer Science (miscellaneous)
Electrical and Electronic Engineering

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AB - In this paper, we propose a method to track multiple players and ball in a football video which is captured by monocular camera. In the case of capturing the video from a single view, there might be a lot of occluded situations of players. To overcome this problem, we propose a robust tracking method for multiple players by combining Particle Filter and Classifier. In this method, we apply Homography to extract player's position on the pitch.

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KW - Particle filter

KW - Real AdaBoost

KW - Tracking

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Football players and ball tracking using monocular camera for tactics analysis

Abstract

Keywords

ASJC Scopus subject areas

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