No matter where you are: Flexible graph-guided multi-task learning for multi-view head pose classification under target motion

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2013, Pages 1177-1184

  Yan, Yan ^a   Ricci, Elisa ^b,d   Subramanian, Ramanathan ^c   Lanz, Oswald ^d   Sebe, Nicu ^a  

^a UNIVERSITY OF TRENTO   (Italy)

^b UNIVERSITY OF PERUGIA   (Italy)

^c University of Illinois   (Singapore)

^d FONDAZIONE BRUNO KESSLER   (Italy)

Author keywords

Head Pose Classification; Multi Task Learning; Multi view

Indexed keywords

CAMERAS; LINEARIZATION; SECURITY SYSTEMS;

APPEARANCE SIMILARITIES; HEAD POSE; LARGE FIELD OF VIEWS; MULTI-VIEWS; MULTITASK LEARNING; OPTIMAL PARTITIONING; POSE CLASSIFICATIONS; SURVEILLANCE CAMERAS;

CLASSIFICATION (OF INFORMATION);

EID: 84898794231     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2013.150     Document Type: Conference Paper

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