Spatial-based Bayesian Hidden Markov Models with Dirichlet Mixtures for Video Anomaly Detection.
Guojian LuoJianfeng QuLina ZhangXiaoyu FangYi ZhangTong ZhouPublished in: ISCC (2022)
Keyphrases
- hidden markov models
- anomaly detection
- spatial and temporal
- intrusion detection
- mixture model
- space time
- network intrusion detection
- detecting anomalies
- network traffic
- anomalous behavior
- video sequences
- hidden semi markov models
- abnormal activity
- unsupervised learning
- video data
- intrusion detection system
- one class support vector machines
- detect anomalies
- random effects
- spatio temporal
- bayesian networks
- baum welch
- em algorithm
- sequential data
- expectation maximization
- maximum likelihood
- object recognition
- training data
- generative model
- model selection
- visual speech
- probabilistic model