Presenter(s)

Ruixu Liu

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Description

Tracking players in the designated field and tracking the field lines are significant challenges, especially during various gaming events like football or soccer. Players may occlude one another which confuses many tracking algorithms. There are also scale changes and camera movements that occur, which can also confuse trackers. Along with these challenges, real-time analysis with limited hardware support reduces the capability of using some state of the art tracking algorithms. We present an optimized field tracker based on the line segment detection (LSD) and an intelligent player tracking system based on features and motion estimation in real-time.

Publication Date

4-24-2019

Project Designation

Graduate Research

Primary Advisor

Vijayan K. Asari

Primary Advisor's Department

Electrical and Computer Engineering

Keywords

Stander Symposium project

Automated Player and Field Tracking

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