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Anticipating human activities from object interaction cues

Author
Aranda, J.; Vinagre, M.
Type of activity
Presentation of work at congresses
Name of edition
25th IEEE International Symposium on Robot and Human Interactive Communication
Date of publication
2016
Presentation's date
2016-08-28
Book of congress proceedings
The 25th IEEE International Symposium on Robot and Human Interactive Communication: August 26 to August 31, 2016 Teachers College, Columbia University New York, USA
First page
58
Last page
63
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/ROMAN.2016.7745091 Open in new window
Repository
http://hdl.handle.net/2117/100415 Open in new window
URL
http://ieeexplore.ieee.org/document/7745091/ Open in new window
Abstract
A real time approach to the recognition of human activity based on the interaction with objects in domestic settings is presented. It is based on capturing partial images where the activity takes place using a color camera, and processing the images to recognize the present objects and their location changes. For object description and recognition, a histogram on a normalized chromaticity space has been selected. The interaction with the objects is classified as four types of possible actions re...
Citation
Aranda, J., Vinagre, M. Anticipating human activities from object interaction cues. A: IEEE International Symposium on Robot and Human Interactive Communication. "The 25th IEEE International Symposium on Robot and Human Interactive Communication: August 26 to August 31, 2016 Teachers College, Columbia University New York, USA". New York: Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 58-63.
Keywords
Hidden Markov models, Histograms, Image color analysis, Matrices, Object recognition, Robots
Group of research
CREB - Biomedical Engineering Research Centre
GRINS - Intelligent Robots and Systems

Participants