Cleaning up after a face tracker: False positive removal.
Makarand TapaswiCemal Cagn CorezMartin BäumlHazim Kemal EkenelRainer StiefelhagenPublished in: ICIP (2014)
Keyphrases
- false positives
- false negative
- false positive rate
- true positive
- detection rate
- low false positive rate
- image sequences
- number of false positives
- human faces
- visual tracking
- mean shift
- real time face tracking
- real time
- appearance model
- object tracking
- particle filter
- face images
- facial images
- recognition algorithm
- robust tracking
- feature tracking
- computer vision
- data sets
- information extraction
- moving objects
- association rules
- machine learning