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Found 5 papers, 1 papers with code
Enhanced Multi-Target Tracking in Dynamic Environments: Distributed Control Methods Within the Random Finite Set Framework
Tracking multiple targets in dynamic environments using distributed sensor networks is a challenging problem that has received significant attention in recent years.
Distributed Complementary Fusion for Connected Vehicles
We present a random finite set-based method for achieving comprehensive situation awareness by each vehicle in a distributed vehicle network.
Interaction-Aware Labeled Multi-Bernoulli Filter
But in many real-world applications, target objects interact with one another and the environment.
Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework
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
Evaluation of Point Pattern Features for Anomaly Detection of Defect within Random Finite Set Framework
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.
