3 citations · 3 across the 4 of their papers we have counts for
4 papers
Efficient Implementation of Multi-sensor Adaptive Birth Samplers for Labeled Random Finite Set Tracking
Jennifer Bondarchuk, Anthony Trezza, Donald J. Bucci
Adaptive track initiation remains a crucial component of many modern multi-target tracking systems. For labeled random finite sets multi-object filters, prior work has been establi…
Transferability of Convolutional Neural Networks in Stationary Learning Tasks
Damian Owerko, Charilaos I. Kanatsoulis, Jennifer Bondarchuk +2
Recent advances in hardware and big data acquisition have accelerated the development of deep learning techniques. For an extended period of time, increasing the model complexity h…
Deterministic Multi-sensor Measurement-adaptive Birth using Labeled Random Finite Sets
Jennifer Bondarchuk, Anthony Trezza, Donald J. Bucci
Measurement-adaptive track initiation remains a critical design requirement of many practical multi-target tracking systems. For labeled random finite sets multi-object filters, pr…
Multi-Target Tracking with Transferable Convolutional Neural Networks
Damian Owerko, Charilaos I. Kanatsoulis, Jennifer Bondarchuk +2
Multi-target tracking (MTT) is a classical signal processing task, where the goal is to estimate the states of an unknown number of moving targets from noisy sensor measurements. I…