SEPose provides the first synthetic event-based pedestrian pose estimation dataset for fixed traffic cameras, with 73K frames and roughly 350K pedestrian instances.
Event-based sensing for improved traffic detection and tracking in intelligent trans- port systems toward sustainable mobility,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring
SEPose provides the first synthetic event-based pedestrian pose estimation dataset for fixed traffic cameras, with 73K frames and roughly 350K pedestrian instances.