A probability-dynamic Particle Swarm Optimization for object tracking.
Feng ShaChangseok BaeGuang LiuXiMeng ZhaoYuk Ying ChungWei-Chang YehXiangjian HePublished in: IJCNN (2015)
Keyphrases
- object tracking
- particle swarm optimization
- particle filter
- image sequences
- video sequences
- moving objects
- mean shift
- appearance model
- video surveillance
- appearance modeling
- visual tracking
- computer vision
- kalman filter
- sparse representation
- scene segmentation
- multiple object tracking
- tracking accuracy
- data association
- multiple cameras
- robust object tracking
- occlusion handling
- video surveillance systems
- visual object tracking
- multi camera
- neural network
- tracking objects
- partial occlusion
- multi objective
- object recognition
- three dimensional
- genetic algorithm
- data sets