A Compound Bayes Test for Detection of Occlusion and Visible Background and Foreground Areas in Stereo.
George A. TriantafyllidisDimitrios TzovarasMichael G. StrintzisPublished in: Workshop on Digital and Computational Video (2001)
Keyphrases
- foreground objects
- background pixels
- foreground detection
- foreground regions
- background subtraction
- background modeling
- foreground background
- cluttered background
- static background
- background clutter
- foreground and background
- complex background
- moving cast shadows
- bounding box
- object detection
- detecting objects
- detecting and tracking multiple
- motion detection
- foreground segmentation
- occlusion handling
- human detection
- computer vision
- background model
- stereo images
- moving objects
- detection algorithm
- object recognition
- partial occlusion
- object tracking
- foreground pixels
- occlusion detection
- multi camera
- static camera
- moving object detection
- stereo matching
- foreground background segmentation
- thermal images
- dynamic background
- image sequences
- moving shadow
- disparity estimation
- color distribution
- object class
- object segmentation
- disparity map
- dynamic scenes
- image pairs
- appearance model
- segmentation method
- graph cuts
- decision trees