Title
Group Behavior Recognition Issue, Feature Analysis on Defending Pick and Roll Basketball Move.
Abstract
The paper presents a group behavior representation and an application in the 2 vs. 2 basketball domain. Furthermore a set of forty features have been made from the raw information provided by the INEF12 Basketball Dataset. Moreover, from all these features we propose a selection using an algorithm to choose the best features to classify and predict the group behavior. The entire experimental test carried out with Hidden Markov Models algorithms could validate the proposed representation and features selection, in group behavior recognition and 2 vs. 2 basketball specific domain.
Year
DOI
Venue
2012
10.3233/978-1-61499-105-2-1001
ADVANCES IN KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS
Field
DocType
Volume
Group behavior,Artificial intelligence,Engineering,Pattern recognition (psychology),Basketball
Conference
243
ISSN
Citations 
PageRank 
0922-6389
0
0.34
References 
Authors
8
5
Name
Order
Citations
PageRank
Alberto Pozo121.07
Miguel A. Patricio230538.05
Jesús García323830.37
José M. Molina460467.82
Ignacio Refoyo500.34