Detection of anomalous driving behaviors by unsupervised learning of graphs.
Luc BrunBenito CappellaniaAlessia SaggeseMario VentoPublished in: AVSS (2014)
Keyphrases
- unsupervised learning
- anomaly detection
- supervised learning
- false alarms
- detection method
- automatic detection
- deep learning
- object detection
- detection algorithm
- machine learning
- graph matching
- detecting anomalous
- driver assistance systems
- random graphs
- bipartite graph
- detection accuracy
- graph theoretic
- semi supervised
- vehicle detection
- object recognition
- behavior analysis
- probabilistic model
- high dimensional
- detect anomalies