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All-Day Object Tracking for Unmanned Aerial Vehicle by Li, Bowen; Fu, Changhong; Ding, Fangqiang; Ye, Junjie; Lin, Fuling is a scholarly article available to read on EtoBox.

What is All-Day Object Tracking for Unmanned Aerial Vehicle about?

Visual object tracking, which is representing a major interest in image processing field, has facilitated numerous real world applications. Among them, equipping unmanned aerial vehicle (UAV) with real time robust visual trackers for all day aerial maneuver, is currently attracting incremental attention and has remarkably broadened the scope of applications of object tracking. However, prior tracking methods have merely focused on robust tracking in the well-illuminated scenes, while ignoring trackers' capabilities to be deployed in the dark. In darkness, the conditions can be more complex and harsh, easily posing inferior robust tracking or even tracking failure. To this end, this work proposed a novel discriminative correlation filter based tracker with illumination adaptive and anti dark capability, namely ADTrack. ADTrack firstly exploits image illuminance information to enable adaptability of the model to the given light condition. Then, by virtue of an efficient and effective image enhancer, ADTrack carries out image pretreatment, where a target aware mask is generated. Benefiting from the mask, ADTrack aims to solve a dual regression problem where dual filters, i.e., the con

Author

Li, Bowen; Fu, Changhong; Ding, Fangqiang; Ye, Junjie; Lin, Fuling

Published

2021

Language

EN