Supervised Object Boundary Detection Based on Structured Forests.
Fan MengZhiquan QiLimeng CuiZhensong ChenYong ShiPublished in: ICDS (2015)
Keyphrases
- boundary detection
- object detection and recognition
- detection algorithm
- d objects
- image segmentation
- scale selection
- berkeley segmentation dataset
- unsupervised learning
- moving objects
- structured data
- closed contours
- depth ordering
- learning algorithm
- object tracking
- multiple objects
- target object
- random forests
- partial occlusion
- supervised learning
- multiscale