Object Tracking Based on Meanshift and Particle-Kalman Filter Algorithm with Multi Features.
Irene Anindaputri IswantoTan William ChoaBin LiPublished in: ICCSCI (2019)
Keyphrases
- kalman filter
- object tracking
- mean shift
- particle filter
- kalman filtering
- target tracking
- state estimation
- bayesian filtering
- image sequences
- proposal distribution
- robust tracking
- particle filtering
- density function
- partial occlusion
- object location
- object tracking algorithm
- visual object tracking
- visual tracking
- video sequences
- extended kalman filter
- data association
- graph cuts
- dynamic programming
- appearance model
- feature space
- optimal solution
- state space model
- global motion
- multiple cameras
- learning algorithm
- moving objects
- search space
- multi camera
- simultaneous localization and mapping
- input data
- field of view
- appearance modeling
- similarity measure
- feature extraction
- robust object tracking
- computer vision