Deep learning for visual tracking: A comprehensive survey

SM Marvasti-Zadeh, L Cheng… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Visual target tracking is one of the most sought-after yet challenging research topics in
computer vision. Given the ill-posed nature of the problem and its popularity in a broad …

Siamese object tracking for unmanned aerial vehicle: A review and comprehensive analysis

C Fu, K Lu, G Zheng, J Ye, Z Cao, B Li, G Lu - Artificial Intelligence Review, 2023 - Springer
Unmanned aerial vehicle (UAV)-based visual object tracking has enabled a wide range of
applications and attracted increasing attention in the field of artificial intelligence (AI) …

Deep learning for unmanned aerial vehicle-based object detection and tracking: A survey

X Wu, W Li, D Hong, R Tao, Q Du - IEEE Geoscience and …, 2021 - ieeexplore.ieee.org
Owing to effective and flexible data acquisition, unmanned aerial vehicles (UAVs) have
recently become a hotspot across the fields of computer vision (CV) and remote sensing …

A survey of detection-based video multi-object tracking

Y Dai, Z Hu, S Zhang, L Liu - Displays, 2022 - Elsevier
Abstract Multiple Object Tracking (MOT) has emerged as a hot issue in the field of computer
vision recently. MOT has academic and commercial potential in urban public security …

Dynamic feature-memory transformer network for RGBT tracking

M Li, P Zhang, M Yan, H Chen, C Wu - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
RGBT object tracking is an important research topic due to the complementary features of
visible and thermal infrared images. However, the established fast-tracking Siamese series …

[HTML][HTML] Detector–tracker integration framework for autonomous vehicles pedestrian tracking

H Wang, L Jin, Y He, Z Huo, G Wang, X Sun - Remote Sensing, 2023 - mdpi.com
Pedestrian tracking is an important aspect of autonomous vehicles environment perception
in a vehicle running environment. The performance of the existing pedestrian tracking …

Air–ground surveillance sensor network based on edge computing for target tracking

X Deng, Y Liu, C Zhu, H Zhang - Computer Communications, 2021 - Elsevier
With the development of Internet of Things (IoT), Unmanned Aerial Vehicle (UAV) target
tracking recently has received lots of attention in research community. The two major …

Sequential Fusion Based Multi-Granularity Consistency for Space-Time Transformer Tracking

K Hu, W Yang, W Huang, X Zhou, M Cao… - Proceedings of the …, 2024 - ojs.aaai.org
Regarded as a template-matching task for a long time, visual object tracking has witnessed
significant progress in space-wise exploration. However, since tracking is performed on …

Multiple passive-sensor distributed target tracking approach with Machine Learning Feedback

R Fatima, R Sadiq, I Ullah, S Manzoor… - Expert Systems with …, 2024 - Elsevier
In this paper, a novel recursive state estimation approach in three-dimensional space for a
non-maneuvering target is developed. The proposed technique employs angle and …

[HTML][HTML] Embedded computation architectures for autonomy in unmanned aircraft systems (UAS)

L Mejias, JP Diguet, C Dezan, D Campbell, J Kok… - Sensors, 2021 - mdpi.com
This paper addresses the challenge of embedded computing resources required by future
autonomous Unmanned Aircraft Systems (UAS). Based on an analysis of the required …