Head, Shoulders, Hip and Ball Hip and Ball! Using Pose Data to … · 2020. 1. 8. · 360 −ϕ...

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Adrià Arbués-Sangüesa, Gloria Haro, Coloma Ballester, Adrián Martín / Universitat Pompeu Fabra / [email protected] Head, Shoulders, Hip and BallHip and Ball! Using Pose Data to Leverage Football Player Orientation W Pose W Pos W Ball + α β γ ϕ 360 Problem Statement Methods Results Pose Orientation ~ Upper-Torso’s Normal Vector (Super-Resolution + OpenPose + 3D Vision) Field Orientation ~ Player FoV Ball Orientation ~ Sphere Influence Shoulders Hip Face 2D 2D 23 90º 180º 270º 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0 W Pose = 0.25 Validation through EPTS devices in youth games. In the presented experiments: Output line’s length: proportional to the associated pose-field-ball confidences Practical Applications Detection Rate: 89.69 % LR-Side Deviation: 92.43 % Mean Absolute Error: 40.00º Median Absolute Error: 34.07º Orientation Assessment through Video Evaluation of On-Ball and Off-Ball Direction Refining Pass-Probability / Pitch-Control Models Reaction Time Measurement W Pos = 0.15 W Ball = 0.6 Reference System Edler people claim that: - Yesteryear football: - Today’s faster football: Control Look Pass Orient Control Pass 1 2 3 1 2 3 Yet an unexplored field of research Goal Football Video Feed Player Pose and Position (+ ball) Time-based set of Body Orientation / Player Source: sportsdiscourse.com

Transcript of Head, Shoulders, Hip and Ball Hip and Ball! Using Pose Data to … · 2020. 1. 8. · 360 −ϕ...

Page 1: Head, Shoulders, Hip and Ball Hip and Ball! Using Pose Data to … · 2020. 1. 8. · 360 −ϕ Problem Statement Methods Results Pose Orientation ~ Upper-Torso’s Normal Vector

Adrià Arbués-Sangüesa, Gloria Haro, Coloma Ballester, Adrián Martín / Universitat Pompeu Fabra / [email protected]

Head, Shoulders, Hip and Ball… Hip and Ball! Using Pose Data to Leverage Football Player Orientation

WPose

WPos

WBall

+

α

β

γ

−ϕ360

Problem Statement

Methods

Results

Pose Orientation ~ Upper-Torso’s Normal Vector (Super-Resolution + OpenPose + 3D Vision)

Field Orientation ~ Player FoV

Ball Orientation ~ Sphere Influence

Shoulders Hip Face

2D 2D

23

90º

180º

270º22

21

20

19

18

17

16

1514

13 12 11 109

8

7

6

5

4

32

10

WPose = 0.25Validation through EPTS devices in youth games. In the presented experiments:

Output line’s length: proportional to the associated

pose-field-ball confidences

Practical Applications

Detection Rate: 89.69 % LR-Side Deviation: 92.43 % Mean Absolute Error: 40.00º Median Absolute Error: 34.07º

Orientation Assessment through Video

Evaluation of On-Ball and Off-Ball Direction

Refining Pass-Probability / Pitch-Control Models

Reaction Time Measurement

WPos = 0.15 WBall = 0.6

Reference System

Edler people claim that: - Yesteryear football:

- Today’s faster football:

Control Look Pass

Orient Control Pass

1 2 3

1 2 3

Yet an unexplored field of research

Goal

Football Video Feed

Player Pose and Position (+ ball)

Time-based set of Body Orientation / Player

Source:sportsdiscourse.com