Improving Object Tracking with Voting from False Positive Detections.
Vassileios BalntasLilian TangKrystian MikolajczykPublished in: ICPR (2014)
Keyphrases
- false positives
- object tracking
- false negative
- particle filter
- image sequences
- video sequences
- detection rate
- mean shift
- false positive rate
- appearance model
- data association
- kalman filter
- video surveillance
- visual tracking
- computer vision
- moving objects
- robust object tracking
- multiple object tracking
- multi camera
- true positive
- low false positive rate
- particle filtering
- tracking objects
- partial occlusion
- visual object tracking
- sparse representation
- robust tracking
- appearance modeling
- multiple cameras
- data sets
- object appearance
- false detections
- object detection
- data mining