SeaCLEF 2016: Object Proposal Classification for Fish Detection in Underwater Videos.
Jonas JägerErik RodnerJoachim DenzlerViviane WolffKlaus Fricke-NeuderthPublished in: CLEF (Working Notes) (2016)
Keyphrases
- fish species
- classification method
- feature selection
- feature extraction
- video sequences
- image classification
- object detection
- decision trees
- support vector machine
- feature vectors
- pattern recognition
- digital mammograms
- neyman pearson
- text classification
- video analysis
- classification algorithm
- population dynamics
- video content
- detection rate
- endoscopic video
- object tracking
- false positives
- class labels
- detection method
- detection algorithm
- support vector machine svm
- d objects
- training set
- object recognition
- support vector
- image sequences