2018
Precise Regression for Bounding Box Correction for Improved Tracking Based on Deep Reinforcement Learning
ICASSP 2018accepted
In this paper, we propose a precise regression approach for correcting imprecise bounding box using deep reinforcement learning. Object tracking task essentially builds trajectory of a moving object based on detection and tracking algorithms and its current state is indicated by having the object en…