A superpixel MRF approach using high-order likelihood for moving object detection.
Jihong MinHyeongwoo KimJongwon ChoiIn-So KweonPublished in: ICPR (2012)
Keyphrases
- high order
- moving object detection
- video surveillance
- markov random field
- higher order
- moving objects
- background subtraction
- moving camera
- maximum likelihood
- superpixels
- background modeling
- pairwise
- visual surveillance
- object tracking
- object detection
- least squares
- object recognition
- field of view
- video camera
- subspace learning
- computer vision