NDLI: Tracking 3D shapes in noisy point clouds with Random Hypersurface Models

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2015 18th International Conference on Information Fusion (Fusion)

17th International Conference on Information Fusion (FUSION)

Proceedings of the 16th International Conference on Information Fusion

2012 15th International Conference on Information Fusion

Organizing committee

Table of contents

Tracking individual behaviors in networks: An experimental demonstration

Fusing geo-referenced images for urban scene

Naval asymetric threats and piracy acts: Study of a new IR detection module

Track anomaly detection with rhythm of life and bulk activity modeling

Adaptive light field sampling and sensor fusion for smart lighting control

Source localization by TDOA with random sensor position errors — Part I: Static sensors

Source localization by TDOA with random sensor position errors — Part II: Mobile sensors

A decision support tool for a Ground Air Traffic Control application

Sensor network localisation with wrapped phase measurements

Multitarget tracking with Interacting Population-based MCMC-PF

Box Particle Filtering for extended object tracking

The Rao-Blackwellized marginal M-SMC filter for Bayesian multi-target tracking and labelling

SMC methods to avoid self-resolving for online Bayesian parameter estimation

Box-particle PHD filter for multi-target tracking

Importance sampling applied to Pincus maximization for particle filter MAP estimation

Efficient localization using particle filter with clustering considering obstacles

Long-time coherent integration for low SNR target via particle filter in Track-Before-Detect

Particle flow and Monge-Kantorovich transport

Grid-based Rao-Blackwellisation of particle filtering for switching observation models

On multitarget jump-Markov filters

Generalized PHD filters via a general chain rule

A novel auxiliary particle PHD filter

The para-normal Bayes multi-target filter and the spooky effect

Identical maximum likelihood state estimation based on incremental finite mixture model in PHD filter

Faster conceptual blending predictors on relational time series

Calculating uncertainties in situation analysis for fighter aircraft combat survivability

Semantic inference by first order logic

A blueprint for Command and Control: Automation and interface

An adaptive feature selection method for multi-class classification

Combining local and non-local information with dual decomposition for named entity recognition from text

A new evidential c-means clustering method

On performance of individual, collective and network detection of propagative sources

HMM triangle relative entropy concepts in sequential change detection applied to vision-based dim target manoeuvre detection

Extended PCR rules for dynamic frames

Comparative study of contradiction measures in the theory of belief functions

A fuzzy-cautious OWA approach with evidential reasoning

New basic belief assignment approximations based on optimization

Hierarchical DSmP transformation for decision-making under uncertainty

Optimality and ghosting phenomena in multi-target tracking

Target tracking for an unknown and time-varying number of targets via particle filtering

Probabilistic data association in information space for generic sensor data fusion

Multi-target tracking with target state dependent detection

Multiple object video tracking using GRASP-MHT

Home network semantic modeling and reasoning — A case study

Network composition for situation assessment: A “trusted meeting” case study

Adaptive team formation for shared situation awareness

An upper bound on the convergence time for distributed binary consensus

GLCM-based metric for image fusion assessment

Data association performance measures: Fidelity and selection

Performance based monitoring using statistical control charts on multi-robot teams

A robust computational test for overlap of two arbitrary-dimensional ellipsoids in fault-detection of Kalman filters

Localization for mixed near-field and far-field sources using data supported optimization

Accuracy studies for TDOA and TOA localization

Bayesian train localization method extended by 3D geometric railway track observations from inertial sensors

Antenna allocation for MIMO radars with collocated antennas

An exercise-driven heart rate statistical process model

Optimal search: A practical interpretation of information-driven sensor management

Assessment of vessel route information use in Bayesian non-linear filtering

On constraints exploitation for particle filtering based target tracking

Fixed-Lag Smoothing for Bayes optimal exploitation of external knowledge

Storage efficient particle filters with multiple out-of-sequence measurements

Mixture truncated unscented Kalman filtering

Scaled unscented transform-based variational optimality filter

Unscented Kalman filter revisited — Hermite-Gauss Quadrature approach

Randomized unscented Kalman filter in target tracking

Quaternion-based Kalman filtering on INS/GPS

A random finite set approach for joint detection and tracking of multiple wideband sources using a distributed acoustic vector sensor array

Methods to model the motion of extended objects in multi-object Bayes filters

Gaussian mixture PHD and CPHD filtering with partially uniform target birth

Performance of PHD and CPHD filtering versus JIPDA for bearings-only multi-target tracking

Ground target tracking with signal adaptive measurement error covariance matrix

Research on ellipsoidal intersection fusion method with unknown correlation

Subjective logic with uncertain partial observations

Fusion of visual and compass sensors for location recognition

A blueprint for policy automation in fusion and Command and Control

Logic-based fusion of legal knowledge

Clustered subsampling for clinically informed diagnostic brain mapping

Magnetic gradient and neutron backscattering fusion for landmine detection

Soft ELECTRE TRI outranking method based on belief functions

Reliability and relevance in the Thresholded Dempster-Shafer algorithm for ESM data fusion

Action recognition based on hybrid features

Network and infrastructure considerations for hard and soft information fusion processes

A probabilistic fuzzy method for emitter identification based on genetic algorithm

Kalman filtering approach to multirate information fusion for soft sensor development

Fast and adaptive bidimensional empirical mode decomposition for the real-time video fusion

On the validity of Dempster-Shafer Theory

Passive 3D multitarget tracking using multiple heterogeneous sensors

Multi-Object Association decision algorithms with belief functions

A hierarchical MHT approach to ESM-radar fusion

A reduced Gaussian mixture representation based on sparse modeling

On mixture reduction for multiple target tracking

Mobile emitter geolocation and tracking using correlated time difference of arrival measurements

Data fusion methods for small arms localization solutions

Performance of state estimate fusion in long-haul sensor networks with message retransmission

Wide area multilateration using ADS-B transponder signals

UAV position and attitude estimation using IMU, GNSS and camera

Multi-sensor data fusion based on information theory. Application to GNSS positionning and integrity monitoring

Zone routing determination for IZRP based on bee-inspired algorithm

Recursive Bayesian calibration of depth sensors with non-overlapping views

A comparison of joint/independent state particle filters for tracking closely spaced targets in clutter

Expectation maximization algorithm for calibration of ground sensor networks using a road constrained particle filter

On-road trajectory generation from GPS data: A particle filtering/smoothing application

Calibration of a magnetometer in combination with inertial sensors

Particle filter divergence monitoring with application to terrain navigation

Simultaneous camera orientation estimation and road target tracking

A voyage to Africa by Mr Swift

A particle filter based on a constrained sampling method for state estimation

Bearings-only tracking with particle filtering for joint parameter learning and state estimation

A cardinality preserving multitarget multi-Bernoulli RFS tracker

Multi-Bernoulli based track-before-detect with road constraints

Calculating some exact MMOSPA estimates for particle distributions

Multi-target tracking with background discrimination using PHD filters

Space matching fusion model for arterial speed estimation in ITS

Enterprise data architecture principles for High-Level Multi-Int fusion: A pragmatic guide for implementing a heterogeneous data exploitation framework

Choice of dimensionality reduction methods for feature and classifier fusion with nearest neighbor classifiers

Discriminative learning of multiset integrated canonical correlation analysis for feature fusion

Defining dynamic Bayesian networks for probabilistic situation assessment

Kullback-Leibler divergence region in MIMO radar detection problems

Multisensor joint tracking and identification using particle filter and Dempster-Shafer fusion

Enhanced OTHR detection using Bayesian fusion of multipath target returns

Empirical comparison of bagging-based ensemble classifiers

Cardiovascular event risk assessment — Fusion of individual risk assessment tools applied to the Portuguese population

Real-Time Kinematic positioning using fused data from multiple GNSS antennas

Representation and fusion of Conditionally Refined opinions using evidence trees

Modeling and sensor fusion of a remotely operated underwater vehicle

Towards hard+soft data fusion: Processing architecture and implementation for the joint fusion and analysis of hard and soft intelligence data

Feature selection based on particle swarm optimal with multiple evolutionary strategies

Joint estimation of state and sensor systematic error in hybrid system

Attitude heading reference system with rotation-aiding visual landmarks

State estimation for systems with unknown inputs based on variational Bayes method

Adaptive dynamic programming for sensor scheduling in energy-constrained wireless sensor networks

On schedulability and time composability of data aggregation networks

A resource management blueprint for fusion and command and control

Towards self-organizing Kalman filters

On optimal distributed Kalman filtering in non-ideal situations

Multiple-model algorithms for distributed tracking of a maneuvering target

Distributed fusion filter for multi-sensor systems with random sensor delays, multiple packet dropouts and uncertain observations

Track-to-track association in the presence of sensor bias and the relative bias estimation

Neutrosophic masses & indeterminate models: Applications to information fusion

A study of MAP estimation techniques for nonlinear filtering

Attitude determination of LEO satellites using an array of GNSS sensors

Measure of nonlinearity for stochastic systems

Converted Measurement Kalman filter with nonlinear equality constrains

Continuous-discrete filtering using EKF, UKF, and PF

Multiple target tracking by a distributed UWB sensor network based on the PHD filter

Hybrid Poisson and multi-Bernoulli filters

The PHD filter for extended target tracking with estimable extent shape parameters of varying size

A hierarchical approach to the Multi-Vehicle SLAM problem

The Cauchy-Schwarz divergence for assessing situational information gain

Computational reconstruction of biochemical networks

Data fusion and mis-information removal in social networks

Online learnability of Statistical Relational Learning in anomaly detection

Weighted combination for multiple fixes

Maritime anomaly detection using Gaussian Process active learning

Fusion of Velodyne and camera data for scene parsing

Fusion of morphological images for airborne target detection

A cognitively inspired rule-plus-exemplar framework for interpretable pattern classification

A two-step multi-frame detection procedure for radar systems

Pushing Kalman's idea to the extremes

Collaborative human decision fusion with uncertain individual thresholds

Combined stochastic and set-membership information filtering in multisensor systems

Interpretation and fusion of hyper opinions in subjective logic

Distributed multi static sonar tracking in clutter

Unified tracking and fusion for airborne collision avoidance using log-polar coordinates

Multiple target tracking by integrating track refinement and data association

Minimum time-error planning horizon for plan updating triggered by Poisson random events

Multi-target tracking control using Continuous Double Auction Parameter Selection

Control over unreliable networks based on control input densities

Dynamic asset allocation approaches for counter-piracy operations

Evaluation of a coupled laser inertial navigation system for pedestrian tracking

Concurrent filtering and smoothing

Combining of redundant signal strength readings for an improved RF localization in multipath indoor environments

Displacement estimation for different gait patterns in micro-sensor motion capture

A cognitive system for adaptive decision making

Integrating hard and soft information sources for D2D using controlled natural language

Intent inference and action prediction using a Computational Cognitive Model

An integrated maritime reasoning and monitoring system

A computationally efficient low-bandwidth method for very-large-scale mapping of road signs with multiple vehicles

Optimal Kalman filter fusion with singular covariances of filter error

Globally optimal distributed state fusion white noise deconvolution estimators

On the decorrelated distributed Kalman filter under measurement origin uncertainty

Cooperative fusion architecture in a network centric environment

The shifted Rayleigh filter for 3D bearings-only measurements with clutter

Comparison of angle-only filtering algorithms in 3D using Cartesian and modified spherical coordinates

A nonlinear tracking algorithm with range-rate measurements based on unbiased measurement conversion

Square-root adaptive cubature Kalman filter with application to spacecraft attitude estimation

Adaptive cubature Kalman filter for nonlinear state and parameter estimation

Tomographic radar imaging using frame theory

Self-tuning fusion Kalman smoother for multisensor multi-channel ARMA signals and its convergence

A novel Maximum-Likelihood method for blind multichannel identification

Minimax design of nonnegative finite impulse response filters

Covariance Intersection fusion Wiener signal estimators based on embedded-time-delay ARMA model

Semantic information integration for stream reasoning

Aspects of plan operators in a tree automata framework

Real-time road traffic fusion and prediction with GPS and fixed-sensor data

Quality preserving fusion of 3D triangle meshes

Uncertainty representations for a Vehicle-Borne IED surveillance problem

Extreme Learning Machine based fast object recognition

An information fusion approach for glacier mapping using multi-source remote sensing data

Coherent spatio-temporal sensor fusion on a hybrid multicore processor system

Velocity tracking based on interpolated adaptive Doppler filter

Data-based distributed classification and its performance analysis

Learning the fusion of audio and video aggression assessment by meta-information from human annotations

Markov Logic Networks for context integration and situation assessment in maritime domain

Updating attribute fusion results with additional evidence using DSmT

Applying the Dynamic Region Connection Calculus to exploit geographic knowledge in maritime surveillance

Measurement fusion using batch estimation for trajectory reconstruction of ballistic targets

Minimized Euclidean error data association for multi-target and multisensor uncertain dynamic systems

Effects of computing and communications on state fusion over long-haul sensor networks

Graph approaches for data association

Covariance intersection fusion Kalman estimator for the two-sensor time-delayed system

Comparison of inertial mechanization approaches for inertial aided monocular EKF-SLAM

Robust NLOS discrimination for range-based acoustic pose tracking

Large scale wireless indoor localization by clustering and Extreme Learning Machine

Balancing value and risk in information sharing through obfuscation

From data to knowledge to action: A taxi business intelligence system

Multiple Kernel Learning for vehicle detection in wide area motion imagery

Technologies to aid decision making for maritime security

Distributed fusion filter for asynchronous multi-rate multi-sensor non-uniform sampling systems

A minimum entropy approach for multiple-model estimation

Track-to-track fusion with missing information: Empirical study: Tracking a variety of target types

Decentralized sensor selection based on the distributed posterior Cramér-Rao lower bound

An MCMC-based particle filter for multiple target tracking

Multiple scatterer tracking in high range resolution radar

State Dependent Difference Riccati Equation based estimation for maneuvering target

Progressive Gaussian filtering based on Dirac Mixture approximations

Fusion of information from SAR and optical map images for aided navigation

Tensor decomposition based R-dimensional matrix pencil method

Bayesian active object recognition via Gaussian process regression

Acceleration and velocity estimation of maneuvering targets based on Sparse and Redundant Representantions

Disparity space: A parameterisation for Bayesian triangulation from multiple cameras

Copula Gaussian multiscale graphical models with application to geophysical modeling

Heuristic noise driven compressed sensing for DOA estimation in phased array radar system

Compressed sensing based target tracking using raw radar measurements

Modeling extreme events in spatial domain by copula graphical models

Dynamical models for tracking with the variable rate particle filter

Operating characteristic and average sample number functions of truncated sequential probability ratio test

Purifying training data to improve performance of multi-label classification algorithms

Fusing heterogeneous data for detection under non-stationary dependence

Sequential detection of RGPO in target tracking by decomposition and fusion approach

Tandem distributed detection with conditionally dependent observations

Embedded Restricted Boltzmann Machines for fusion of mixed data types and applications in social measurements analysis

Improving multiple-model context-aided tracking through an autocorrelation approach

Context-driven data and information fusion

High fidelity simulation of hazardous plume concentration time series based on models of turbulent dispersion

Estimating a CBRN atmospheric release in a complex environment using Gaussian processes

Indoor contaminant source estimation using a multiple model unscented Kalman filter

Localization and tracking of radioactive source carriers in person streams

Automated method for scoring breast tissue microarray spots using quadrature mirror filters and support vector machines

On conservative fusion of information with unknown non-Gaussian dependence

Conservative merging of hypotheses given by probability densities

Closed-form optimization of covariance intersection for low-dimensional matrices

Optimal sensor pairing for TDOA based source localization and tracking in sensor networks

Crowd analysis with target tracking, K-means clustering and hidden Markov models

Filtering solution to the out-of-sequence measurement problem with colored and correlated noise

A Joint Statistical and Symbolic Anomaly Detection System: Increasing performance in maritime surveillance

Bayesian conjugate analysis for multiple phase estimation

Online EM algorithm for joint state and mixture measurement noise estimation

Online EM algorithm for jump Markov systems

State estimation in Networked Control Systems

State estimation in hybrid systems with a bounded number of mode transitions in the presence of spurious measurements

Fusion of colour and monochromatic images with chromacity preservation

Multifocus image fusion algorithm using iterative segmentation based on edge information and adaptive threshold

Camera based target recognition for maritime awareness

Spatio-temporal fusion of object segmentation approaches for moving distant targets

Comparison of track fusion rules and track association metrics

Randomized unscented transform in state estimation of non-Gaussian systems: Algorithms and performance

Distributed tracking fidelity-metric performance analysis using confusion matrices

New robust metrics of central tendency for estimation performance evaluation

A track scoring MOP for perimeter surveillance radar evaluation

The control distance metric and constraints on maneuvering satellites

Non-linear Bayesian orbit determination based on the generalized admissible region

Fundamental limits on orbit uncertainty

Feedback particle filter-based multiple target tracking using bearing-only measurements

An AEGIS-FISST integrated detection and tracking approach to Space Situational Awareness

Multisensor data fusion using two-stage analysis on pairs of plots graphs

Track maintenance in covert mission: Passive nonlinear filtering through Cartesian vs Modified Polar EKF

Multi-rate estimation of coloured noise models in graph-based estimation algorithms

A Monte Carlo expectation maximisation algorithm for multiple target tracking

Estimating sensor performance and target population size with multiple sensors

An EM approach for dynamic battery management systems

An agile model for situation assessment: How to make Evidence Theory able to change idea about classifications

A clustering algorithm based on FR-ENN for situation awareness

A novel INS/GPS fusion architecture for aircraft navigation

Sequential fusion Kalman filter

Instability caused by the cubic potential in the foreign exchange market observed at the intervention by the Bank of Japan

Factor graph based incremental smoothing in inertial navigation systems

On the reduction of Gaussian inverse Wishart mixtures

Estimation and maintenance of measurement rates for multiple extended target tracking

Tracking of extended object or target group using random matrix — Part I: New model and approach

Tracking of extended object or target group using random matrix — Part II: Irregular object

Structure inference for networks with general non-parametric inter-object relationships

Computer vision applications for patients monitoring system

Dempster-Shafer fusion for personnel detection: Application of Dempster-Shafer theory with ultrasonic micro-Doppler and PIR sensors

A multi-sensor cognitive approach for active security monitoring of abnormal overcrowding situations

Low-level multimodal integration on Riemannian manifolds for automatic pedestrian detection

Tracking 3D shapes in noisy point clouds with Random Hypersurface Models

A comparative study of randomized algorithms for multidimensional integration

A sequential tracking filter without requirement of measurement decorrelation

Maneuvering target tracking using an unbiased nearly constant heading model

Scene matching based visual SLAM navigation for small unmanned aerial vehicle

Adaptive CGF for pilots training in air combat simulation

Constructive use of GNSS NLOS-multipath: Augmenting the navigation Kalman filter with a 3D model of the environment

Scene understanding using DSO Cognitive Architecture

A training algorithm and stability analysis for recurrent neural networks

Shallow semantic analysis to estimate HUMINT correlation

Towards unbiased evaluation of uncertainty reasoning: The URREF ontology

A generic Bayesian Network for identification and assessment of objects in maritime surveillance

Ranking alternatives expressed with interval-valued intuitionistic fuzzy set

Top ten trends in High-Level Information Fusion

Doppler blind zone analysis for ground target tracking with bistatic airborne GMTI radar

Multistatic post-track classification using a Target Strength function

Multitarget-multisensor ML and PHD: Some asymptotics

Linear optimization models with integer solutions for ping control problems in multistatic active acoustic networks

A comparison of existence-based multitarget trackers for multistatic sonar

Two linear complexity particle filters capable of maintaining target label probabilities for targets in close proximity

An efficient particle filter for multi-target tracking using an independence assumption

A kernel particle filter algorithm for joint tracking and classification

Ground target tracking of vehicles in a wireless ground sensor network

Object tracking with imaging sonar

Modeling the target extent with multiplicative noise

Swift template matching based on equivalent histogram

Persistent target tracking using likelihood fusion in wide-area and full motion video sequences

SATURN (Situational awareness tool for urban responder networks)

Combining degrees of normality analysis in intelligent surveillance systems

Airborne sensor and perception management: A conceptual approach for surveillance UAS

Statistical approach for determining parameters of a turbulence model

Fusing information from multifidelity computer models of physical systems

Identifiability of local transmissibility parameters in agent-based pandemic simulation

Data assimilation of the earth's atmospheric and ionospheric oscillations excited by large earthquakes

Weight adjustment of the particle filter on distributed computing systems

Communication protocol for the Guardian system aimed at the protection of mistreated people

Cloud based social and sensor data fusion

User detection through multi-sensor fusion in an AmI scenario

A multiagent system for the analysis of sequence data

Study of objective evaluation of natural colour image fusion

Accurate signal recovery in quantized compressed sensing

Design and analysis of linear equality constrained dynamic systems

A generalized solution to smoothing and Out-of-Sequence processing

Optimal H∞ filtering for discrete-time-delayed chaotic systems via a unified model

S-estimators in mapping applications

A unified approach to state estimation problems under data and model uncertainties

Active multistatic track initiation cued by passive acoustic detection

Application of the JPDA-UKF to HFSW radars for maritime situational awareness

Posterior distribution preprocessing with the JPDA algorithm: PACsim data set

Multiple target tracking with Gaussian mixture PHD filter using passive acoustic Doppler-only measurements

Feature-assisted multistatic tracking using the PACsim data set

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Proceedings of the Third International Conference on Information Fusion

Tracking 3D shapes in noisy point clouds with Random Hypersurface Models

Content Provider	IEEE Xplore Digital Library
Author	Faion, F. Baum, M. Hanebeck, U.D.
Copyright Year	2012
Description	Author affiliation: Intelligent Sensor-Actuator-Systems Laboratory (ISAS), Institute for Anthropomatics, Karlsruhe Institute of Technology (KIT), Germany (Faion, F.; Baum, M.; Hanebeck, U.D.)
Abstract	Depth sensors such as the Microsoft Kinect™ depth sensor provide three dimensional point clouds of an observed scene. In this paper, we employ Random Hypersurface Models (RHMs), which is a modeling technique for extended object tracking, to point cloud fusion in order to track a shape approximation of an underlying object. We present a novel variant of RHMs to model shapes in 3D space. Based on this novel model, we develop a specialized algorithm to track persons by approximating their shapes as cylinders. For evaluation, we utilize a Kinect network and simulations based on a stochastic sensor model.
Starting Page	2230
Ending Page	2235
File Size	1274593
Page Count	6
File Format	PDF
ISBN	9781467304177
e-ISBN	9780982443859
e-ISBN	9780982443842
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-09
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	ISIF ( Intl Society of Information Fusi
Subject Keyword	Shape Sensors Noise measurement Vectors Approximation methods Approximation algorithms Bayesian methods
Content Type	Text
Resource Type	Article

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