IEEE - Institute of Electrical and Electronics Engineers, Inc. - 2D Pose-based Real-time Human Action Recognition with Occlusion-handling

Author(s): Federico Angelini ; Zeyu Fu ; Yang Long ; Ling Shao ; Syed Mohsen Naqvi
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.2019.2944745
Regular:

Human Action Recognition (HAR) for CCTV-oriented applications is still a challenging problem. Real-world scenarios HAR implementations is difficult because of the gap between Deep Learning data... View More

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