A Hybrid Approach to Improve the Video Anomaly Detection Performance of Pixel- and Frame-Based Techniques Using Machine Learning Algorithms.
Hayati TutarAli GünesMetin ZontulZafer AslanPublished in: Comput. (2024)
Keyphrases
- anomaly detection
- machine learning algorithms
- benchmark data sets
- intrusion detection
- learning algorithm
- machine learning
- learning problems
- machine learning methods
- decision trees
- intrusion detection system
- detecting anomalies
- anomalous behavior
- network traffic
- machine learning approaches
- network anomaly detection
- detect anomalies
- network intrusion detection
- machine learning models
- learning tasks
- video sequences
- unsupervised learning
- detecting anomalous
- network security
- one class support vector machines
- data sets
- connectionist systems
- statistical machine learning
- normal behavior
- transfer learning
- multi class
- real world