Onboard Robust Visual Tracking for UAVs Using a Reliable Global-Local Object Model

Onboard Robust Visual Tracking for UAVs Using a Reliable Global-Local Object Model

In this paper, we present a novel onboard robust visual algorithm for long-term arbitrary 2D and 3D object tracking using a reliable global-local object model for unmanned aerial vehicle (UAV) applications, e.g., autonomous tracking and chasing a moving target. The first main approach in this novel...

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Bibliographic Details
Main Authors: Changhong Fu, Ran Duan, Dogan Kircali, Erdal Kayacan
Format: Article
Language:English
Published: MDPI AG 2016-08-01
Series:Sensors
Subjects:
unmanned aerial vehicle
visual object tracking
reliable global-local model
local geometric filter
local outlier factor
robust real-time performance
Online Access:http://www.mdpi.com/1424-8220/16/9/1406

Internet

http://www.mdpi.com/1424-8220/16/9/1406

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