Detection and Classification of Interacting Persons

Scott Blunsden, Robert Fisher

Research output: Chapter in Book/Report/Conference proceedingChapter


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).
Original languageEnglish
Title of host publicationMachine Learning for Human Motion Analysis: Theory and Practice
PublisherIGI Global
Number of pages15
ISBN (Print)9781605669007
Publication statusPublished - 2010

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