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Franz Hlawatsch

7 accepted papers

2024

A Distributed Joint Integrated Probabilistic Data Association (JIPDA) Filter with Soft Object Association

ICASSP 2024accepted

We propose a distributed multisensor joint integrated probabilistic data association (JIPDA) filter for multiobject tracking in decentralized sensor networks. Conventional Chernoff fusion of the posterior multiobject distributions of neighboring sensors presupposes a correct "hard" association of th…

Cited by 0SourceScholar
2024

Likelihood Consensus 2.0: Reducing Interagent Communication in Distributed Bayesian Target Tracking

ICASSP 2024accepted

We propose a communication-efficient scheme for distributed Bayesian target tracking (distributed particle filtering) in possibly nonlinear and non-Gaussian state-space models. The scheme is a sparsity-promoting evolution of the likelihood consensus (LC) that uses the orthogonal matching pursuit (OM…

Cited by 0SourceScholar
2023

Bayesian Methods for Optical Flow Estimation Using a Variational Approximation, with Applications to Ultrasound

ICASSP 2023accepted

We develop a unified Bayesian framework for optical flow (OF) estimation that uses a variational lower bound to obtain a variational approximation of the posterior probability distribution. Our framework enables the incorporation of domain-specific knowledge as well as a quantification of the uncert…

Cited by 0SourceScholar
2020

Feature Drift Resilient Tracking of The Carotid Artery Wall Using Unscented Kalman Filtering With Data Fusion

ICASSP 2020accepted

An analysis of the motion of the common carotid artery (CCA) provides effective indicators for cardiovascular diseases. Here, we propose a method for tracking CCA wall motion from a B-mode ultrasound video sequence. An unscented Kalman filter based on a suitably devised state-space model fuses measu…

Cited by 0SourceScholar
2019

Heterogeneous Information Fusion for Multitarget Tracking Using the Sum-product Algorithm

ICASSP 2019accepted

The sum-product algorithm (SPA) was recently shown to provide a scalable methodology for multitarget tracking (MTT) using multiple sensors. Here, we focus on another advantage of the SPA frame-work, namely, its capacity for Bayesian fusion of heterogeneous data sources and auxiliary information. We…

Cited by 0SourceScholar
2017

Local detection and estimation of multiple objects from images with overlapping observation areas

ICASSP 2017accepted

We propose a method for detecting and estimating multiple objects from multiple noisy images with partly overlapping observation areas. The goal is to detect the objects that are “locally” present in the individual observation areas and to estimate their states. Our method is based on a new closed-f…

Cited by 0SourceScholar