Jointly learning heterogeneous features for RGB-D activity recognition

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

Volumn 07-12-June-2015, Issue , 2015, Pages 5344-5352

  Hu, Jian Fang ^a   Zheng, Wei Shi ^a,b   Lai, Jianhuang ^a   Zhang, Jianguo ^c  

^a SUN YAT SEN UNIVERSITY   (China)

^b Guangdong Province Key Laboratory of Computational Science   (China)

^c UNIVERSITY OF DUNDEE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER VISION; INFERENCE ENGINES; ITERATIVE METHODS; OPTIMIZATION;

ACTIVITY RECOGNITION; CLASSIFIER LEARNING; HETEROGENEOUS FEATURES; HIDDEN STRUCTURES; HUMAN-OBJECT INTERACTION; ITERATIVE OPTIMIZATION ALGORITHMS; MULTITASK LEARNING; SPECIFIC COMPONENT;

PATTERN RECOGNITION;

EID: 84959219372     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7299172     Document Type: Conference Paper

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