SiamSTA: Spatio-Temporal Attention based Siamese Tracker for Tracking UAVs.
Bo HuangJunjie ChenTingfa XuYing WangShenwang JiangYuncheng WangLei WangJianan LiPublished in: ICCVW (2021)
Keyphrases
- spatio temporal
- particle filter
- visual tracking
- challenging sequences
- object tracking
- robust tracking
- appearance model
- image sequences
- mean shift
- moving objects
- real time tracking
- real time
- multiple hypothesis
- unmanned aerial vehicles
- tracking multiple
- tracking framework
- object tracking algorithm
- tracking accuracy
- particle filtering
- spatial and temporal
- hand tracking
- camera tracking
- tracking objects
- automatic initialization
- lucas kanade
- feature tracking
- tracking scheme
- visual object tracking
- kalman filter
- motion model
- cluttered environments
- probabilistic data association
- extended kalman filters
- motion patterns
- articulated hand
- space time
- observation model
- spatio temporal data
- data association
- control algorithm
- motion segmentation
- partial occlusion
- video surveillance
- motion analysis
- path planning
- multiple object tracking
- object trajectories
- moving target
- target tracking