Vision-Based Real-Time Aerial Object Localization and Tracking for UAV Sensing System

Vision-Based Real-Time Aerial Object Localization and Tracking for UAV Sensing System

This paper focuses on the problem of vision-based obstacle detection and tracking for unmanned aerial vehicle navigation. A real-time object localization and tracking strategy from monocular image sequences is developed by effectively integrating the object detection and tracking into a dynamic Kalm...

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Bibliographic Details
Main Authors: Yuanwei Wu, Yao Sui, Guanghui Wang
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Salient object detection
visual tracking
Kalman filter
object localization
real-time tracking
Online Access:https://ieeexplore.ieee.org/document/8080161/

Internet

https://ieeexplore.ieee.org/document/8080161/

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