Skip to content
RDL
Network
Ekosistem
Uygulama değiştir
EN
Hakkımızda
SSS
Giriş yap
Başla
Real-Time Chest Compression Depth Rate, Posture, and Person Detections Using Binocular Vision for CPR Training — Jun Zhang (2024) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Real-Time Chest Compression Depth Rate, Posture, and Person Detections Using Binocular Vision for CPR Training
Shared by
Aiguo Song
Southeast University
Real-Time Chest Compression Depth Rate, Posture, and Person Detections Using Binocular Vision for CPR Training
Article
2024
en
Authors
+3 more
JZ
Jun Zhang
FQ
Feiyang Qu
JL
Jingyu Liu
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Article
2005
Using binocular stereopsis for vision-based vehicle control
Daniela Koller
,
Q.-T. Luong
,
Jitendra Malik
Article
2016
Vision-based posture recognition using an ensemble classifier and a vote filter
Peng Ji
,
Changcheng Wu
,
Xiaonong Xu
,
Aiguo Song
,
Huijun Li
Preprint
2022
Enabling and Accelerating Dynamic Vision Transformer Inference for Real-Time Applications
Kavya Sreedhar
,
Jason Clemons
,
Rangharajan Venkatesan
,
Stephen W. Keckler
,
Mark Horowitz
arXiv (Cornell University)
Article
2002
A real-time computer vision system for measuring traffic parameters
David Beymer
,
Philip F. McLauchlan
,
Benjamin Coifman
,
Jitendra Malik
Article
1998
A real-time computer vision system for vehicle tracking and traffic surveillance
Benjamin Coifman
,
David Beymer
,
Philip F. McLauchlan
,
Jitendra Malik
Discussion(0)
No comments yet. Be the first to comment.