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Recognising human actions by analysing negative spaces
S. A. Rahman, S. Y. Cho, M. K.H. Leung
Department of Electrical and Electronic Engineering
Research output
:
Journal Publication
›
Article
›
peer-review
24
Citations (Scopus)
Overview
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Keyphrases
Human Action
100%
Negative Space
100%
Human Body
40%
Segmentation Error
40%
Semantic Level
20%
Action Recognition
20%
Human Action Recognition
20%
Region-based Method
20%
Positive Spaces
20%
KTH Dataset
20%
Background Segmentation
20%
Weizmann
20%
Action Datasets
20%
Region-based Approach
20%
Level Description
20%
Action Classification
20%
Space Region
20%
Theory of Art
20%
Computer Science
Action Recognition
100%
Surrounding Region
100%
human action recognition
100%
Classification Action
100%
Level Description
100%
Engineering
Human Action
100%
Limitations
25%
Semantic Level
25%