Enhancing multi-target tracking stability using knowledge graph integration within the Gaussian Mixture Probability Hypothesis Density Filter

A Mehrizi, HS Yazdi - Multimedia Tools and Applications, 2024 - Springer
This paper proposes a novel approach to enhancing multi-target tracking of vehicles in
videos with frequent camera occlusions. Our method integrates prior knowledge about …

Distributed Gaussian Mixture PHD Filtering under Communication Constraints

S Khan, YC Sun, I Hwang - arXiv preprint arXiv:2308.00268, 2023 - arxiv.org
The Gaussian Mixture Probability Hypothesis Density (GM-PHD) filter is an almost exact
closed-form approximation to the Bayes-optimal multi-target tracking algorithm. Due to its …

Robust Multi-Target Tracking with Integrated Knowledge Model, Graph Structures, and Statistical Analysis in Unobservable Environments

A Mehrizi, HS Yazdi - 2024 - researchsquare.com
This paper presents an innovative approach to vehicle tracking in video streams, utilizing
graph structures, integrated prior knowledge, and forecasting techniques. The method …

Automated Solutions for Dynamic Subset Target Identification and Tracking

RATN Perera - 2023 - search.proquest.com
In this dissertation, we investigated a multi-target tracking filter, specifically the Probability
Hypothesis Density (PHD) filter, for tracking non-homogeneous targets with varying …

Integrated Knowledge Graph Model and Statistical Analysis for Multi-Target Tracking with Prediction of Non-Identical Periodic Events and Unobservable Environments

A Mehrizi, HS Yazdi - Available at SSRN 4826650 - papers.ssrn.com
This paper presents an innovative approach to vehicle tracking in video streams, utilizing
graph structures, integrated prior knowledge, and forecasting techniques. The method …