The Influence of Multi-Sensor Video Fusion on Object Tracking Using a Particle Filter.
Lyudmila MihaylovaArtur LozaStavri G. NikolovJohn J. LewisEduardo Fernández CangaJian LiTimothy D. DixonCedric Nishan CanagarajahDavid R. BullPublished in: GI Jahrestagung (1) (2006)
Keyphrases
- multi sensor
- object tracking
- particle filter
- video surveillance
- video sequences
- data fusion
- infrared
- visual tracking
- particle filtering
- appearance model
- image fusion
- kalman filter
- mean shift
- multiple object tracking
- data association
- target tracking
- multi camera
- sensor fusion
- video data
- state estimation
- robust tracking
- motion model
- partial occlusion
- multiple cameras
- multi target tracking
- image sequences
- state space
- tracking accuracy
- real time
- video frames
- visual information
- surveillance system
- pattern recognition
- computer vision
- multiple target tracking
- multiple objects
- coarse to fine
- motion estimation
- multiresolution
- image segmentation
- color histogram
- video camera
- graph cuts
- multiple targets
- moving objects
- search algorithm
- object location
- multiple cues
- face recognition
- object tracking algorithm