Multiple object tracking in deep learning approaches: A survey

Y Park, LM Dang, S Lee, D Han, H Moon - Electronics, 2021 - mdpi.com
Object tracking is a fundamental computer vision problem that refers to a set of methods
proposed to precisely track the motion trajectory of an object in a video. Multiple Object …

An improved deep learning architecture for multi-object tracking systems

J Urdiales, D Martín… - Integrated Computer-Aided …, 2023 - content.iospress.com
Robust and reliable 3D multi-object tracking (MOT) is essential for autonomous driving in
crowded urban road scenes. In those scenarios, accurate data association between tracked …

A lightweight scheme of deep appearance extraction for robust online multi-object tracking

Y Li, Y Liu, C Zhou, D Xu, W Tao - The Visual Computer, 2024 - Springer
Abstract Appearance-based Multi-Object Tracking (MOT) methods rely on the appearance
cues of objects. However, existing deep appearance extraction schemes struggle to balance …

[PDF][PDF] Robust Deep Transfer Learning Based Object Detection and Tracking Approach.

C Narmadha, T Kavitha, R Poonguzhali… - … Automation & Soft …, 2023 - researchgate.net
At present days, object detection and tracking concepts have gained more importance
among researchers and business people. Presently, deep learning (DL) approaches have …

A One-Dimensional Non-Intrusive and Privacy-Preserving Identification System for Households

T Kompara, J Perš, D Susič, M Gams - Electronics, 2021 - mdpi.com
In many ambient-intelligence applications, including intelligent homes and cities, awareness
of an inhabitant's presence and identity is of great importance. Such an identification system …

Deep Learning Data Association Applied to Multi-object Tracking Systems

J Urdiales, D Martín, JM Armingol - International Conference on Computer …, 2022 - Springer
In this work, a robust and reliable multi-object tracking (MOT) system for autonomous
vehicles is presented. In crowded urban road scenes accurate data association between …

An Improved Algorithm for Grouped Hierarchical Multi-object Tracking Based on Feature and Motion Prediction Enhancement

Y Zhang, X Cai, J Kao, H Zhao, R Hu, G Han - 2024 - researchsquare.com
Multi-object tracking (MOT) is a significant challenge within the field of computer vision,
holding various practical applications. Nevertheless, it is still a challenge to extract more …

[PDF][PDF] A One-Dimensional Non-Intrusive and Privacy-Preserving Identification System for Households. Electronics 2021, 10, 559

T Kompara, J Perš, D Susic… - Artificial Intelligence …, 2021 - pdfs.semanticscholar.org
In many ambient-intelligence applications, including intelligent homes and cities, awareness
of an inhabitant's presence and identity is of great importance. Such an identification system …