Online GRF: Semi-Automatically Labeling Objects in Video
Qi Wang, Lei Liu, Jian Ming Wang, Xiao Jie Duan, Xiu Yan Li · Applied Mechanics and Materials · 2014
In this paper, semi-automatic methods based on Gaussian random field (GRF) for online object labeling in video were presented. With a user specified region of interest (ROI), the interested object in all of the frames can be labeled. Two methods, i.e. Updated GRF with fixed SmartLabel (UGFS) method and fixed GRF with fixed SmartLabel (FGFS) method were proposed and compared. Evaluations on object categories have indicated that the UGFS method not only improves the real time performance of object labeling in video, but also has relatively high labeling accuracy.