FocoTrack: Multi Object Tracking by Focusing On Overlap at Low Frame Rate
Author:
Affiliation:
1. Korea Advanced Institute of Science and Technology (KAIST),School of Electrical Engineering,Daejeon,South Korea,34141
Funder
K2
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610679.pdf?arnumber=10610679
Reference28 articles.
1. EagerMOT: 3D Multi-Object Tracking via Sensor Fusion
2. Exploring Simple 3D Multi-Object Tracking for Autonomous Driving
3. Online Action Detection in Surveillance Scenarios: A Comprehensive Review and Comparative Study of State-of-the-Art Multi-Object Tracking Methods
4. 3DOF Pedestrian Trajectory Prediction Learned from Long-Term Autonomous Mobile Robot Deployment Data
5. Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
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