A Feature Selection Approach to the Group Behavior Recognition Issue Using Static Context Information

被引：0
|
作者：
Pozo, Alberto [1 ]
Patricio, Miguel A. [1 ]
Garcia, Jesus [1 ]
Manuel Molina, Jose [1 ]
机构：
[1] Univ Carlos III Madrid, Colmenarejo 28270, Spain
来源：
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS | 2013年
关键词：
REPRESENTATION;
D O I：
10.1155/2013/383906
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper deals with the problem of group behavior recognition. Our approach is to merge all the possible features of group behavior (individuals, groups, relationships between individuals, relationships between groups, etc.) with static context information relating to particular domains. All this information is represented as a set of features by classification algorithms. This is a very high-dimensional problem, with which classification algorithms are unable cope. For this reason, this paper also presents four feature selection alternatives: two wrappers and two filters. We present and compare the results of each method in the basketball domain.
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收藏
页数：11
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