Soccer Jersey Number Recognition Using Convolutional Neural Networks

被引:30
作者
Gerke, Sebastian [1 ]
Mueller, Karsten [1 ]
Schaefer, Ralf [1 ]
机构
[1] Fraunhofer HHI, Einsteinufer 37, D-10587 Berlin, Germany
来源
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOP (ICCVW) | 2015年
关键词
D O I
10.1109/ICCVW.2015.100
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, a deep convolutional neural network based approach to the problem of automatically recognizing jersey numbers from soccer videos is presented. It is meant as a tool for subsequent automatic player identification approaches that utilize jersey numbers together with knowledge about teams and the jersey numbers of their players. Two different jersey number vector encoding schemes are presented and compared to each other. The first treats every number as a separate class, while the second one treats each digit as a class. Additionally, the semi-automatic process for the annotation of a jersey number dataset consisting of 8281 jersey numbers is described. The best recognition rate of 0.83 was achieved by the proposed approach with data augmentation and without using dropout, compared to 0.4 for a more traditional histogram of oriented gradients (HOG) and support vector machine (SVM) based approach.
引用
收藏
页码:734 / 741
页数:8
相关论文
共 12 条
[1]  
Andrade E. L., 2003, International Conference on Visual Information Engineering (VIE 2003) (IEE Conf. Publ.No.495), P57, DOI 10.1049/cp:20030486
[2]  
[Anonymous], 2011, NEURAL INFORM PROCES
[3]  
[Anonymous], 2007, P 6 ACM INT C IM VID
[4]  
[Anonymous], 2013, VISUAL COMMUNICATION
[5]  
Chollet F., 2015, Keras: Theano-based deep learning library
[6]   Histograms of oriented gradients for human detection [J].
Dalal, N ;
Triggs, B .
2005 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 1, PROCEEDINGS, 2005, :886-893
[7]  
Delannay D., 2009, 2009 3 ACM IEEE INT, P1
[8]  
Krizhevsky Alex, 2009, LEARNING MULTIPLE LA, V5, P6
[9]  
LeCun Y., 2010, The MNIST database of handwritten digits
[10]  
Lu C.-W., 2013, P 5 INT C INT MULT C, P113