Foreground Extraction via the Tensor-Based RPCA with Non-Convex Fused Sparsity.
Yongsheng WeiYanyan LiuLi JiaXianchao XiuJingjing LiuPublished in: ICNC-FSKD (2018)
Keyphrases
- foreground detection
- squared loss
- information extraction
- high dimensional
- natural image matting
- data fusion
- image sequences
- background subtraction
- moving objects
- convex optimization
- computer vision
- video surveillance
- sparse approximation
- convex sets
- multiple features
- robust principal component analysis
- background pixels
- object detection
- globally optimal
- closed form
- piecewise linear
- information fusion
- template matching
- convex hull
- high order