Improved Joint Probabilistic Data Association (JPDA) Filter Using Motion Feature for Multiple Maneuvering Targets in Uncertain Tracking Situations.
En FanWeixin XieJihong PeiKeli HuXiaobin LiVid PodpecanPublished in: Inf. (2018)
Keyphrases
- joint probabilistic data association
- data association
- motion model
- target tracking
- multitarget tracking
- multiple targets
- multiple target tracking
- multiple objects
- robust tracking
- particle filter
- motion analysis
- motion estimation
- visual tracking
- interacting multiple model
- optical flow
- object tracking
- kalman filter
- motion segmentation
- motion parameters
- image sequences
- motion planning
- constant velocity
- multi sensor
- body parts
- image features
- mobile robot
- three dimensional
- moving objects
- computational complexity
- multiscale
- appearance model
- feature points