IEEE - Institute of Electrical and Electronics Engineers, Inc. - Long Activity Video Understanding using Functional Object-Oriented Network

Author(s): Ahmad Babaeian Jelodar ; David Paulius ; Yu Sun
Sponsor(s): IEEE Signal Processing Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Volume: PP
Page(s): 1
ISSN (Electronic): 1941-0077
ISSN (Paper): 1520-9210
DOI: 10.1109/TMM.2018.2885228
Regular:

Video understanding is one of the most challenging topics in computer vision. In this paper, a four-stage video understanding pipeline is presented to simultaneously recognize all atomic actions... View More

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