Finding the optimal background subtraction algorithm for EuroHockey 2015 video

HIGHAM, D, KELLEY, John, HUDSON, Christopher and GOODWILL, Simon (2016). Finding the optimal background subtraction algorithm for EuroHockey 2015 video. Procedia Engineering, 147, 637-642.

Higham finding the optimal.pdf - Published Version
Creative Commons Attribution Non-commercial No Derivatives.

Download (257kB) | Preview
[img] PDF (acceptance message)
Higham 13002.pdf - Other
Restricted to Repository staff only

Download (104kB)
Official URL:
Link to published version::


Background subtraction is a classic step in a vision-based localization and tracking workflow. Previous studies have compared background subtraction algorithms on publicly available datasets; however comparisons were made only with manually optimized parameters. The aim of this research was to identify the optimal background subtraction algorithm for a set of field hockey videos captured at EuroHockey 2015. Particle Swarm Optimization was applied to find the optimal background subtraction algorithm. The objective function was the F-score, i.e. the harmonic mean of precision and recall. The precision and recall were calculated using the output of the background subtraction algorithm and gold standard labeled images. The training dataset consisted of 15 x 13 second field hockey video segments. The test data consisted of 5 x 13 second field hockey video segments. The video segments were chosen to be representative of the teams present at the tournament, the times of day the matches were played and the weather conditions experienced. Each segment was 960 pixels x 540 pixels and had 10 ground truth labeled frames. Eight commonly used background subtraction algorithms were considered. Results suggest that a background subtraction algorithm must use optimized parameters for a valid comparison of performance. Particle Swarm Optimization is an appropriate method to undertake this optimization. The optimal algorithm, Temporal Median, achieved an F-score of 0.791 on the test dataset, suggesting it generalizes to the rest of the video footage captured at EuroHockey 2015.

Item Type: Article
Additional Information: The Engineering of SPORT 11 issue. Presented at 11th conference of the International Sports Engineering Association, ISEA. Delft, The Netherlands. 11-15 July 2016.
Research Institute, Centre or Group - Does NOT include content added after October 2018: Centre for Sports Engineering Research
Identification Number:
Page Range: 637-642
Depositing User: Carole Harris
Date Deposited: 28 Jul 2016 15:48
Last Modified: 18 Mar 2021 06:54

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics