Assessing machine learning classifiers for the detection of animals' behavior using depth-based tracking.
Patricia PonsJavier JaenAlejandro CataláPublished in: Expert Syst. Appl. (2017)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- feature selection
- multi target tracking
- decision trees
- machine learning approaches
- supervised classification
- human detection
- detecting and tracking multiple
- joint detection
- crowded scenes
- behavior analysis
- object detection
- detection algorithm
- face detection and tracking
- living systems
- computer vision
- support vector
- real time
- pattern recognition
- false detections
- information extraction
- tracking scheme
- partial occlusion
- detection method
- anomaly detection
- particle filter
- feature set
- learning classifier systems
- support vector machine
- detection rate
- training set
- natural language processing
- roc analysis
- svm classifier
- naive bayes
- semi supervised learning