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Detection and Classification of Interacting Persons

Detection and Classification of Interacting Persons

Scott Blunsden, Robert Fisher
Copyright: © 2010 |Pages: 15
ISBN13: 9781605669007|ISBN10: 1605669008|ISBN13 Softcover: 9781616922160|EISBN13: 9781605669014
DOI: 10.4018/978-1-60566-900-7.ch011
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MLA

Blunsden, Scott, and Robert Fisher. "Detection and Classification of Interacting Persons." Machine Learning for Human Motion Analysis: Theory and Practice, edited by Liang Wang, et al., IGI Global, 2010, pp. 213-227. https://doi.org/10.4018/978-1-60566-900-7.ch011

APA

Blunsden, S. & Fisher, R. (2010). Detection and Classification of Interacting Persons. In L. Wang, L. Cheng, & G. Zhao (Eds.), Machine Learning for Human Motion Analysis: Theory and Practice (pp. 213-227). IGI Global. https://doi.org/10.4018/978-1-60566-900-7.ch011

Chicago

Blunsden, Scott, and Robert Fisher. "Detection and Classification of Interacting Persons." In Machine Learning for Human Motion Analysis: Theory and Practice, edited by Liang Wang, Li Cheng, and Guoying Zhao, 213-227. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-900-7.ch011

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Abstract

This chapter presents a way to classify interactions between people. Examples of the interactions we investigate are: people meeting one another, walking together, and fighting. A new feature set is proposed along with a corresponding classification method. Results are presented which show the new method performing significantly better than the previous state of the art method as proposed by Oliver et al. (2000).

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