Object tracking based on an online learning network with total error rate minimization.
Se-In JangKwontaeg ChoiKar-Ann TohAndrew Beng Jin TeohJaihie KimPublished in: Pattern Recognit. (2015)
Keyphrases
- object tracking
- online learning
- video sequences
- total error rate
- mean shift
- particle filter
- image sequences
- kalman filter
- appearance model
- video surveillance
- appearance modeling
- moving objects
- computer vision
- visual tracking
- particle filtering
- partial occlusion
- multiple cameras
- scene segmentation
- data association
- multi camera
- visual object tracking
- robust object tracking
- tracking accuracy
- occlusion handling
- multiple object tracking
- data sets
- sparse representation
- tracked objects
- video surveillance systems
- image classification
- consistent labeling
- knn
- multi view
- object detection
- object recognition
- pattern recognition
- multiscale