Share Email Print
cover

Proceedings Paper

Recognition of sport players' numbers using fast-color segmentation
Author(s): Cédric Verleysen; Christophe De Vleeschouwer
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

This paper builds on a prior work for player detection, and proposes an efficient and effective method to distinguish among players based on the numbers printed on their jerseys. To extract the numbers, the dominant colors of the jersey are learnt during an initial phase and used to speed up the segmentation of the candidate digit regions. An additional set of criteria, considering the relative position and size (compared to the player bounding box) and the density (compared to the digit rectangular support) of the digit, are used to filter out the regions that obviously do not correspond to a digit. Once the plausible digit regions have been extracted, their recognition is based on feature-based classification. A number of original features are proposed to increase the robustness against digit appearance changes, resulting from the font thickness variability and from the deformations of the jersey during the game. Finally, the efficiency and the effectiveness of the proposed method are demonstrated on a real-life basketball dataset. It shows that the proposed segmentation runs about ten times faster than the mean-shift algorithm, but also outlines that the proposed additional features significantly increase the digit recognition accuracy. Despite significant deformations, 40% of the samples, that can be visually recognized as digits, are well classified as numbers. Out of these classified samples, more than 80% of them are correctly recognized. Besides, more than 95% of the samples, that are not numbers, are correctly identified as non-numbers.

Paper Details

Date Published: 15 February 2012
PDF: 10 pages
Proc. SPIE 8305, Visual Information Processing and Communication III, 83050R (15 February 2012); doi: 10.1117/12.908723
Show Author Affiliations
Cédric Verleysen, Univ. Catholique de Louvain (Belgium)
Christophe De Vleeschouwer, Univ. Catholique de Louvain (Belgium)


Published in SPIE Proceedings Vol. 8305:
Visual Information Processing and Communication III
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)

© SPIE. Terms of Use
Back to Top