Combat sports analytics: Boxing punch classification using overhead depth imagery


Autoria(s): Kasiri-Bidhendi, Soudeh; Fookes, Clinton; Morgan, Stuart; Martin, David T.; Sridharan, Sridha
Data(s)

01/09/2015

Resumo

In competitive combat sporting environments like boxing, the statistics on a boxer's performance, including the amount and type of punches thrown, provide a valuable source of data and feedback which is routinely used for coaching and performance improvement purposes. This paper presents a robust framework for the automatic classification of a boxer's punches. Overhead depth imagery is employed to alleviate challenges associated with occlusions, and robust body-part tracking is developed for the noisy time-of-flight sensors. Punch recognition is addressed through both a multi-class SVM and Random Forest classifiers. A coarse-to-fine hierarchical SVM classifier is presented based on prior knowledge of boxing punches. This framework has been applied to shadow boxing image sequences taken at the Australian Institute of Sport with 8 elite boxers. Results demonstrate the effectiveness of the proposed approach, with the hierarchical SVM classifier yielding a 96% accuracy, signifying its suitability for analysing athletes punches in boxing bouts.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/93143/

Publicador

IEEE

Relação

http://eprints.qut.edu.au/93143/1/ICIP2015_2.pdf

DOI:10.1109/ICIP.2015.7351667

Kasiri-Bidhendi, Soudeh, Fookes, Clinton, Morgan, Stuart, Martin, David T., & Sridharan, Sridha (2015) Combat sports analytics: Boxing punch classification using overhead depth imagery. In IEEE International Conference on Image Processing (ICIP 2015), 27-30 September 2015, Quebec City, Canada.

Direitos

Copyright 2015 IEEE

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Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #image classification;image sequences;sport;statistical analysis;support vector machines;Australian Institute of Sport;boxing punch classification;coarse-to-fine hierarchical SVM classifier;combat sport analytics;multiclass SVM classifier;noisy time-of-fli
Tipo

Conference Paper