A scene-adaptive motion detection model based on machine learning and data clustering.
Tao HuMinghui ZhengJun LiLi ZhuJia HuPublished in: Multim. Tools Appl. (2015)
Keyphrases
- data clustering
- motion detection
- machine learning
- image sequences
- background model
- static background
- unsupervised learning
- apparent motion
- detection algorithm
- background subtraction
- video surveillance
- clustering algorithm
- k means
- surveillance system
- cluster analysis
- computer vision
- data mining
- moving objects
- video sequences
- motion estimation
- pattern recognition
- object tracking
- spectral clustering
- learning algorithm
- three dimensional
- dynamic scenes
- decision trees
- supervised learning
- feature selection
- flow field
- input image
- mixture model
- foreground objects
- image segmentation
- text mining