Interaction part mining: A mid-level approach for fine-grained action recognition

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 07-12-June-2015, Issue , 2015, Pages 3323-3331

  Zhou, Yang ^a   Ni, Bingbing ^b   Hong, Richang ^c   Wang, Meng ^c   Tian, Qi ^a  

^a UNIVERSITY OF TEXAS AT SAN ANTONIO   (United States)

^b ADVANCED DIGITAL SCIENCES CENTER   (Singapore)

^c HEFEI UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; FILTRATION; GRAPHIC METHODS; IMAGE SEGMENTATION; OBJECT DETECTION;

ACTION RECOGNITION; ACTION REPRESENTATIONS; APPEARANCE MATCHING; CLASSIFICATION PERFORMANCE; GRAPH SEGMENTATION; HUMAN-OBJECT INTERACTION; MOTION TRAJECTORIES; SPATIO-TEMPORAL GRAPHS;

PATTERN RECOGNITION;

EID: 84959241736     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7298953     Document Type: Conference Paper

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