Real-time Moving Object Detection in Video Sequences using Spatio-temporal Adaptive Gaussian Mixture Models.
Katharina QuastMatthias ObermannAndré KaupPublished in: VISAPP (1) (2010)
Keyphrases
- gaussian mixture model
- moving object detection
- dynamic background
- background subtraction
- moving objects
- spatio temporal
- video sequences
- moving camera
- video surveillance
- background model
- mixture model
- image sequences
- em algorithm
- human actions
- foreground objects
- expectation maximization
- dynamic scenes
- space time
- background modeling
- motion detection
- feature vectors
- human motion
- surveillance system
- object tracking
- gaussian mixture
- video camera
- probability density
- motion estimation
- moving target
- feature space
- probability density function
- maximum likelihood
- optical flow
- visual surveillance
- mixture of gaussians
- camera motion
- action recognition
- computer vision
- machine learning
- density estimation
- d scene
- clustering algorithm
- video data
- facial expressions
- object recognition