TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

View-independent human action recognition based on multi-view action images and discriminant learning

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Otsikko2013 IEEE 11th IVMSP Workshop: 3D Image/Video Technologies and Applications, IVMSP 2013 - Proceedings
DOI - pysyväislinkit
TilaJulkaistu - 2013
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
Tapahtuma2013 IEEE 11th Workshop on 3D Image/Video Technologies and Applications, IVMSP 2013 - Seoul, Etelä-Korea
Kesto: 10 kesäkuuta 201312 kesäkuuta 2013

Conference

Conference2013 IEEE 11th Workshop on 3D Image/Video Technologies and Applications, IVMSP 2013
MaaEtelä-Korea
KaupunkiSeoul
Ajanjakso10/06/1312/06/13

Tiivistelmä

In this paper a novel view-independent human action recognition method is proposed. A multi-camera setup is used to capture the human body from different viewing angles. Actions are described by a novel action representation, the so-called multi-view action image (MVAI), which effectively addresses the camera viewpoint identification problem, i.e., the identification of the position of each camera with respect to the person's body. Linear Discriminant Analysis is applied on the MVAIs in order to to map actions to a discriminant feature space where actions are classified by using a simple nearest class centroid classification scheme. Experimental results denote the effectiveness of the proposed action recognition approach.