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Action recognition in compressed domains: A survey
Y Ming, J Zhou, N Hu, F Feng, P Zhao, B Lyu, H Yu - Neurocomputing, 2024 - Elsevier
Human action recognition (HAR) refers to the process in which computers analyze and
process video data to obtain the categories of action presented in the video. It has a wide …
process video data to obtain the categories of action presented in the video. It has a wide …
Advances in human action recognition: an updated survey
SAR Abu‐Bakar - IET Image Processing, 2019 - Wiley Online Library
Research in human activity recognition (HAR) has seen tremendous growth and
continuously receiving attention from both the Computer Vision and the Image Processing …
continuously receiving attention from both the Computer Vision and the Image Processing …
Multi-domain cascade convolutional neural network
2019-01-16 Assigned to INTEL CORPORATION reassignment INTEL CORPORATION
ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors …
ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors …
Occluded skeleton-based human action recognition with dual inhibition training
Recently, skeleton-based human action recognition has received widespread attention in
computer vision community. However, most existing research focuses on improving the …
computer vision community. However, most existing research focuses on improving the …
Multi-domain convolutional neural network
2019-01-30 Assigned to INTEL CORPORATION reassignment INTEL CORPORATION
ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors …
ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors …
Interpretable human action recognition in compressed domain
Compressed domain human action recognition algorithms are extremely efficient, because
they only require a partial decoding of the video bit stream. However, the question what …
they only require a partial decoding of the video bit stream. However, the question what …
Multi-domain convolutional neural network
G06F21/52—Monitoring users, programs or devices to maintain the integrity of platforms, eg
of processors, firmware or operating systems during program execution, eg stack integrity; …
of processors, firmware or operating systems during program execution, eg stack integrity; …
Cascade convolutional neural network
KJLPSBMDOIVXSN-UHFFFAOYSA-N 4-[4-[2-[4-(3, 4-dicarboxyphenoxy) phenyl] propan-2-
yl] phenoxy] phthalic acid Chemical compound C= 1C= C (OC= 2C= C (C (C (O)= O)= CC …
yl] phenoxy] phthalic acid Chemical compound C= 1C= C (OC= 2C= C (C (C (O)= O)= CC …
Impact of three-dimensional video scalability on multi-view activity recognition using deep learning
Human activity recognition is one of the important research topics in computer vision and
video understanding. It is often assumed that high quality video sequences are available for …
video understanding. It is often assumed that high quality video sequences are available for …
Influence of video quality on multi-view activity recognition
This paper presents a study that evaluates the performance of multi-view human activity
recognition with videos having degraded quality. For the activity recognition models, a …
recognition with videos having degraded quality. For the activity recognition models, a …