Presentation / Installation


37. Updating Human Pose Estimation using Event-based Camera to Improve Its Accuracy
SessionPosters: Image, Video, & Computer Vision
DescriptionWe showed that processing latency degrades the accuracy of human pose estimation for a frame-based camera and proposed to improve the accuracy by updating the pose estimation results adaptively to his motion, taking advantage of the low latency and high temporal resolution of an event-based camera.
Contributors
Ippei Otake
Nara Institute of Science and Technology
Kazuya Kitano
Nara Institute of Science and Technology
Takahiro Kushida
Ritsumeikan University
Nara Institute of Science and Technology
Hiroyuki Kubo
Chiba University
Akinobu Maejima
OLM Digital Inc.
IMAGICA GROUP Inc.
Yuki Fujimura
Nara Institute of Science and Technology
Takuya Funatomi
Nara Institute of Science and Technology
Yasuhiro Mukaigawa
Nara Institute of Science and Technology
Event Type
Poster
TimeThursday, 10 August 20239am - 5:30pm PDT
LocationWest Lobby Entrance
ACM Digital Library Poster PDF
Session Time & Location
Sunday, 6 August 20239am - 5:30pm PDTWest Lobby Entrance
Monday, 7 August 20239am - 5:30pm PDTWest Lobby Entrance
Tuesday, 8 August 20239am - 5:30pm PDTWest Lobby Entrance
Wednesday, 9 August 20239am - 5:30pm PDTWest Lobby Entrance
Thursday, 10 August 20239am - 5:30pm PDTWest Lobby Entrance
Keywords
Computer Vision
Registration Categories
FC
FCS
E
EFC
EE
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