no code implementations • 25 Jan 2024 • Aidan Blair, Amirali Khodadadian Gostar, Alireza Bab-Hadiashar, XiaoDong Li, Reza Hoseinnezhad
Tracking multiple targets in dynamic environments using distributed sensor networks is a challenging problem that has received significant attention in recent years.
no code implementations • 9 Sep 2022 • James Klupacs, Amirali Khodadadian Gostar, Alireza Bab-Hadiashar, Jennifer Palmer, Reza Hosseinezhad
We present a random finite set-based method for achieving comprehensive situation awareness by each vehicle in a distributed vehicle network.
no code implementations • 19 Apr 2022 • Nida Ishtiaq, Amirali Khodadadian Gostar, Alireza Bab-Hadiashar, Reza Hoseinnezhad
But in many real-world applications, target objects interact with one another and the environment.
1 code implementation • 27 Aug 2021 • Ammar Mansoor Kamoona, Amirali Khodadadian Gostar, Alireza Bab-Hadiashar, Reza Hoseinnezhad
Experimental results show the outstanding performance of our proposed approach compared to the state-of-the-art methods, and the proposed RFS energy outperforms the state-of-the-art in the few shot learning settings.
Ranked #63 on Anomaly Detection on MVTec AD
no code implementations • 3 Feb 2021 • Ammar Mansoor Kamoona, Amirali Khodadadian Gostar, Alireza Bab-Hadiashar, Reza Hoseinnezhad
The results show that using point pattern features, such as SIFT as data points for random finite set-based anomaly detection achieves the most consistent defect detection accuracy on the MVTec-AD dataset.