Single object tracking: A survey of methods, datasets, and evaluation metrics

Z Soleimanitaleb, MA Keyvanrad - arxiv preprint arxiv:2201.13066, 2022 - arxiv.org
Object tracking is one of the foremost assignments in computer vision that has numerous
commonsense applications such as traffic monitoring, robotics, autonomous vehicle …

[KİTAP][B] Visual object tracking using deep learning

A Kumar - 2023 - books.google.com
This book covers the description of both conventional methods and advanced methods. In
conventional methods, visual tracking techniques such as stochastic, deterministic …

Study on Tracking Real‐Time Target Human Using Deep Learning for High Accuracy

VT Nguyen, DT Chu - Journal of Robotics, 2023 - Wiley Online Library
Speed and accuracy are important parts of the human tracking system. To design a system
that tracks the target human working well in real time, as well as on mobile devices, a …

MSight: An edge-cloud infrastructure-based perception system for connected automated vehicles

R Zhang, D Meng, S Shen, Z Zou, H Li… - arxiv preprint arxiv …, 2023 - arxiv.org
As vehicular communication and networking technologies continue to advance,
infrastructure-based roadside perception emerges as a pivotal tool for connected automated …

Electronet: An enhanced model for small-scale object detection in electrical schematic diagrams

W Uzair, D Chai, A Rassau - 2023 - researchsquare.com
This study presents the design and development of a highly accurate and efficient approach
for interpreting both hand-drawn and printed electric-circuit schematics. It addresses critical …

[PDF][PDF] The Design of a Microcontroller-based Self Balancing Robot Employing PID Control and Kalman Filter

A Fahmi, M Sulaiman, I Siradjuddin, NR Dzakiyullah - Webology, 2022 - academia.edu
A self-balancing robot is a mobile robot that has two wheels on the right and left sides which
will not balance if it is not controlled. This study aims to design a control system that can …

LIDAR Phenomenological Sensor Model: Development and Validation

ALY Yousif, M Elsobky - 2023 - sae.org
In the rapidly evolving era of software and autonomous driving systems, there is a pressing
demand for extensive validation and accelerated development. This necessity arises from …

Experimental Performance Evaluation of Computer Vision for an Upper Limbs Rehabilitation Robot

E Rijanto, E Adiwiguna, L Rozaqi… - … , Informatics and its …, 2019 - ieeexplore.ieee.org
Rehabilitation robot for upper limbs can help physicians or therapists in conducting
repetitive rehabilitation to patients. This robot is constructed by several electromechanical …

Real-Time Face Tracking Based on the Kalman Filter

H Aung, BA Valentinovich, B Aye - … International Conference on …, 2022 - ieeexplore.ieee.org
Face tracking is not only one of the most interesting tasks in the fields of computer vision, but
also an important part of practical applications such as surveillance systems, fault face …

Implementasi Metode Kalman Filter Dan Model YOLOv8n Untuk Fitur Human-Following Pada Kursi Roda Pintar

FR Yuztiawan, F Utaminingrum - Jurnal Pengembangan Teknologi …, 2025 - j-ptiik.ub.ac.id
Kursi roda telah lama menjadi solusi bagi penyandang disabilitas dengan keterbatasan
mobilitas untuk mendukung aktivitas sehari-hari. Pada kasus disabilitas fisik ganda, kursi …