2017
Robust Visual Tracking Using Oblique Random Forests
CVPR 2017poster
Random forest has emerged as a powerful classification technique with promising results in various vision tasks including image classification, pose estimation and object detection. However, current techniques have shown little improvements in visual tracking as they mostly rely on piece wise orthog…