Multi-swarms Dynamic Convergence Optimization for object tracking.
Feng ShaWanming HuangYuk Ying ChungYing ZhouKevin K. Y. KuanWei-Chang YehPublished in: IJCNN (2016)
Keyphrases
- object tracking
- mean shift
- particle filter
- dynamic environments
- multiple object tracking
- image sequences
- kalman filter
- appearance modeling
- robust object tracking
- appearance model
- computer vision
- video sequences
- video surveillance systems
- video surveillance
- moving objects
- particle filtering
- partial occlusion
- multi camera
- occlusion handling
- scene segmentation
- tracking objects
- visual tracking
- multiple cameras
- tracking accuracy
- data association
- robust tracking
- machine learning
- sparse representation
- particle swarm optimization
- object recognition
- three dimensional
- learning algorithm