A probabilistic approach for foreground and shadow segmentation in monocular image sequences.
Yang WangTele TanKia-Fock LoeJian-Kang WuPublished in: Pattern Recognit. (2005)
Keyphrases
- image sequences
- background subtraction
- motion segmentation
- independently moving objects
- outdoor scenes
- shadow detection
- relative depth
- moving objects
- foreground and background
- motion detection
- moving shadow
- optical flow
- shadow removal
- segmentation algorithm
- motion analysis
- background modeling
- feature points
- level set
- structure from motion
- motion model
- video surveillance
- image segmentation
- computer vision
- object tracking
- background model
- foreground segmentation
- foreground detection
- segmentation method
- moving camera
- foreground objects
- video sequences
- depth ordering
- probabilistic model
- motion parameters
- medical images
- three dimensional
- motion estimation
- static background
- light source
- foreground background segmentation
- segmentation accuracy
- multi frame
- bounding box
- flow field
- edge detection
- cast shadows
- object motion
- foreground background
- pose estimation
- optical flow estimation
- human motion