Mixture Models Based Background Subtraction for Video Surveillance Applications.
Chris PoppeGaëtan MartensPeter LambertRik Van de WallePublished in: CAIP (2007)
Keyphrases
- background subtraction
- mixture model
- gaussian mixture model
- video surveillance
- moving camera
- dynamic scenes
- surveillance system
- em algorithm
- dynamic background
- foreground objects
- moving object detection
- background model
- motion detection
- density estimation
- background modeling
- generative model
- moving objects
- maximum likelihood
- image sequences
- object detection
- probabilistic model
- expectation maximization
- model selection
- video streams
- mixture of gaussians
- video frames
- video sequences
- video data
- gaussian mixture
- probability density function
- surveillance videos
- unsupervised learning
- language model
- human activities
- feature vectors
- computer vision
- event detection
- information retrieval
- video analysis
- moving target
- learning algorithm