Unsupervised tube extraction using transductive learning and dense trajectories

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2015 International Conference on Computer Vision, ICCV 2015, Issue , 2015, Pages 1653-1661

  Puscas, Mihai Marian ^a   Sangineto, Enver ^a   Culibrk, Dubravko ^a,b   Sebe, Nicu ^a  

^a UNIVERSITY OF TRENTO   (Italy)

^b UNIVERSITY OF NOVI SAD   (Serbia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; EXTRACTION; IMAGE SEGMENTATION; TRAJECTORIES;

AUTOMATIC EXTRACTION; FOREGROUND OBJECTS; HUMAN INTERVENTION; MOTION INFORMATION; STATE-OF-THE-ART SYSTEM; TRANSDUCTIVE LEARNING; UNSUPERVISED DATA; UNSUPERVISED TRAINING;

OBJECT DETECTION;

EID: 84973879045     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2015.193     Document Type: Conference Paper

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