RGBT tracking based on prior least absolute shrinkage and selection operator and quality aware fusion of deep and handcrafted features-Reference-Cited by-同舟云学术

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RGBT tracking based on prior least absolute shrinkage and selection operator and quality aware fusion of deep and handcrafted features

Published:2023-09 Issue: Volume:275 Page:110683
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Ghazali Seyed Morteza,Baleghi Yasser

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference86 articles.

1. Visual object tracking for unmanned aerial vehicles: A benchmark and new motion models;Li,2017

2. Object fusion tracking based on visible and infrared images: A comprehensive review;Zhang;Inf. Fusion,2020

3. Shadow detection in very high resolution RGB images using a special thresholding on a new spectral–spatial index;Kakooei;J. Appl. Remote Sens.,2020

4. Benchmarking deep trackers on aerial videos;Taufique;Sensors,2020

5. Pedestrian detection in infrared outdoor images based on atmospheric situation estimation;Ghazali;J. AI Data Min.,2019

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