Abstraction-based Multi-object Acoustic Anomaly Detection for Low-complexity Big Data Analysis.
Huanzhuo WuJia HeMáté TömösköziFrank H. P. FitzekPublished in: ICC Workshops (2021)
Keyphrases
- low complexity
- anomaly detection
- multi object
- data analysis
- intrusion detection
- multiple objects
- motion estimation
- human perception
- computational complexity
- detecting anomalies
- network traffic
- anomalous behavior
- network intrusion detection
- intrusion detection system
- one class support vector machines
- data mining
- unsupervised learning
- machine learning
- multiple images
- motion trajectories
- video data
- particle filter
- detect anomalies
- data warehouse