Publications

Journals and book chapters

  • [29] H. Cai, C. Xue, J. Houssineau, M. Jah, J. Zhang: Possibilistic space object tracking under epistemic uncertainty
    Advances in Space Research, accepted
    (ScienceDirect)
  • [28] H. Cai, J. Houssineau, B. A. Jones, M. Jah and J. Zhang: Possibility generalized labeled multi-Bernoulli filter for multi-target tracking under epistemic uncertainty
    IEEE Transactions on Aerospace and Electronic Systems, 59(2), 1312–1326, 2023
    (IEEE Xplore)
  • [27] E. Delande and J. Houssineau: Uncertain Data Representation
    In: P. Magee, M. Jah and W. Larson (eds.) Space Domain Awareness, 1st edition. Space Technology Series, 2022
    (STS)
  • [26] J. Houssineau, J. Zeng and A. Jasra: Uncertainty modelling and computational aspects of data association
    Statistics and Computing, 31(59), 2021
    (Springer)
  • [25] Z. Chen, B. Ristić, J. Houssineau and D.Y. Kim: Observer control for bearings-only tracking using possibility functions
    Automatica, 133, 109888, 2021
    (Elsevier)
  • [24] J. Houssineau: A linear algorithm for multi-target tracking in the context of possibility theory
    IEEE Transactions on Signal Processing, 69, 2740–2751, 2021
    (IEEE Xplore, arXiv:1801.00571 with supplementary material as appendix)
  • [23] B. Ristić, J. Houssineau and S. Arulampalam: Target tracking in the framework of possibility theory: The possibilistic Bernoulli filter
    Information Fusion, 62, 81-88, 2020
    (Elsevier, arXiv:1911.04022)
  • [22] J. Houssineau, A. Jasra and S.S. Singh: On Large Lag Smoothing for Hidden Markov Models
    SIAM Journal on Numerical Analysis, 57(6), 2812–2828, 2019
    (SIAM, arXiv:1804.07117)
  • [21] J. Houssineau, S.S. Singh and A. Jasra: Identification of multi-object dynamical systems: consistency and Fisher information
    SIAM Journal on Control and Optimization, 57(4), 2603–2627, 2019
    (SIAM, arXiv:1707.04371)
  • [20] J. Houssineau and D.E. Clark: On a representation of partially-distinguishable populations
    Statistics, 54(1), 23-45, 2020
    (Taylor & Francis, arXiv:1608.00723)
  • [19] E.D. Delande, J. Houssineau, J. Franco, C. Frueh, D.E. Clark and M. Jah: A new multi-target tracking algorithm for a large number of orbiting objects
    Advances in Space Research, 64(3), 645-667, 2019
    (ScienceDirect)
  • [18] M. Üney, J. Houssineau, E.D. Delande, S.J. Julier and D.E. Clark: Fusion of finite set distributions: Pointwise consistency and global cardinality
    IEEE Transactions on Aerospace and Electronic Systems, 55(6), 2759-2773, 2019
    (IEEE Xplore)
  • [17] B. Ristić, J. Houssineau and S. Arulampalam: Robust target motion analysis using the possibility particle filter
    IET Radar, Sonar & Navigation, 13(1), 18-22, 2019
    (IET Digital Library)
  • [16] J. Houssineau and D.E. Clark: Multi-target filtering with linearized complexity
    IEEE Transactions on Signal Processing, 66(18), 4957-4970, 2018
    (IEEE Xplore, post-print (corrections in blue), supplementary materials)
    The code of the HISP filter is also available on the Software page.
  • [15] E.D. Delande, J. Houssineau and M. Jah: Physics and human-based information fusion for improved resident space object tracking
    Advances in Space Research, 62(7), 1800-1812, 2018
    (ScienceDirect)
  • [14] A.N. Bishop, J. Houssineau, D. Angley and B. Ristić: Spatio-temporal tracking from natural language statements using outer probability theory
    Information Sciences, 463-464, 56-74, 2018
    (ScienceDirect)
  • [13] J. Houssineau, A. Jasra and S.S. Singh: Multilevel Monte Carlo for Smoothing via Transport Methods
    SIAM Journal on Scientific Computing, 40(4), A2315-A2335, 2018
    (SIAM)
  • [12] J. Houssineau and A.N. Bishop: Smoothing and filtering with a class of outer measures
    SIAM/ASA Journal on Uncertainty Quantification, 6(2), 845-866, 2018
    (SIAM)
  • [11] With D. Crisan, P. Del Moral and A. Jasra: Unbiased Multi-index Monte Carlo
    Stochastic Analysis and Applications, 36(2), 257-273, 2018
    (Taylor & Francis)
  • [10] I. Schlangen, E.D. Delande, J. Houssineau and D.E. Clark: A second-order PHD filter with mean and variance in target number
    IEEE Transactions on Signal Processing, 66(1), 48-63, 2018
    (IEEE Xplore)
  • [9] E.D. Delande, C. Früh, J. Franco, J. Houssineau and D.E. Clark: Novel Multi-Object Filtering Approach for Space Situational Awareness
    Journal of Guidance, Control, and Dynamics; Special Issue on Space Domain Awareness, 41(1), 59-73, 2018
    (arc.aiaa.org)
  • [8] S. Nagappa, E.D. Delande, D.E. Clark and J. Houssineau: A tractable forward-backward CPHD smoother
    IEEE Transactions on Aerospace and Electronic Systems, 53(1), 2017
    (IEEE Xplore)
  • [7] Y. Pailhas, J. Houssineau, Y. Petillot and D.E. Clark: Tracking with MIMO sonar systems: applications to harbour surveillance
    IET Radar, Sonar & Navigation, 11(4), 629-639, 2017
    (IET Digital Library)
  • [6] D.S. Bryant, E.D. Delande, S. Gehly, J. Houssineau, D.E. Clark and B.A. Jones: The CPHD filter with target spawning
    IEEE Transactions on Signal Processing, 65(5), 13124-13138, 2016
    (IEEE Xplore)
  • [5] J. Houssineau, D.E. Clark, S. Ivekovič, C.S. Lee and J. Franco: A unified approach for multi-object triangulation, tracking and camera calibration
    IEEE Transactions on Signal Processing, 64(11), 2934-2948, 2016
    (IEEE Xplore)
  • [4] I. Schlangen, J. Franco, J. Houssineau, E.W. Pitkeathly, D.E. Clark, I. Smal and C. Rickman: Multiple object tracking with marker-less stage drift correction in super-resolution microscopy
    IEEE Journal of Selected Topics in Signal Processing, Special Issue on Advanced Signal Processing in Microscopy and Cell Imaging, 10(1), 193-202, 2016
    (IEEE Xplore)
  • [3] With P. Del Moral: Particle association measures and multiple target tracking
    In: T. Matsui and G.W. Peters (eds.) Theoretical Aspects of Spatial-Temporal Modeling. Springer Japan, 2015
    (Springer)
  • [2] E.D. Delande, M. Üney, J. Houssineau and D.E. Clark: Regional variance for multi-object filtering
    IEEE Transactions on Signal Processing, 62(13), 3415-3428, 2014
    (IEEE Xplore)
  • [1] D.E. Clark and J. Houssineau: Faà di Bruno’s formula and spatial cluster modelling
    Spatial Statistics, 6, 109-117, 2013
    (ScienceDirect)
SCImago Journal & Country Rank SCImago Journal & Country Rank SCImago Journal & Country Rank
SCImago Journal & Country Rank SCImago Journal & Country Rank SCImago Journal & Country Rank

Manuscripts in preparation/submission

  • [S7] J. Houssineau and D. Nott: Robust Bayesian inference in complex models with possibility theory
    (arxiv:2204.06911)
  • [S6] H. Cai, J. Houssineau, B. A. Jones, M. Jah, J. Zhang: Possibility generalized labeled multi-Bernoulli filter for multi-target tracking under epistemic uncertainty
  • [S5] J. Heng, J. Houssineau and A. Jasra: On Unbiased Score Estimation for Partially Observed Diffusions
    (arXiv:2105.04912)
  • [S4] J. Houssineau, N. K. Chada, E. Delande: Elements of asymptotic theory with outer probability measures
    (arXiv:1908.04331)
  • [S3] J. Houssineau: Parameter estimation with a class of outer probability measures
    (arXiv:1801.00569)
  • [S2] J. Houssineau, A. Jasra and S.S. Singh: On the loss of Fisher information in some multi-object tracking observation models
    (arXiv:1803.09496)
  • [S1] J. Houssineau and B. Ristić: Sequential Monte Carlo algorithms for a class of outer measures
    (arXiv:1708.06489)

Ph.D. thesis

  • J. Houssineau: Representation and estimation of stochastic populations
    Heriot-Watt University, 2015
    (Final version – See also [16, 20] and [R7] for updated versions)

Conferences and reports

– 2018

  • [C23] E.D. Delande, J. Houssineau and M. Jah: A New Representation of Uncertainty for Data Fusion in SSA Detection and Tracking Problems
    21st International Conference on Information Fusion (FUSION)
    (IEEE Xplore)

– 2017

  • [C22] E.D. Delande, J. Houssineau, J. Franco, C. Früh and D.E. Clark: A new multi-target tracking algorithm for a large number of orbiting objects
    27th AAS/AIAA Space Flight Mechanics Meeting
    (Preprint)

– 2016

  • [R7] J. Houssineau and D.E. Clark: Bayesian data assimilation based on a family of outer measures
    (arXiv:1611.02989)
  • [R6] D.E. Clark, E.D. Delande and J. Houssineau: Basic concepts for multi-object estimation
    (Lecture notes)
  • [C21] I. Schlangen, E.D. Delande, J. Houssineau, and D.E. Clark: A PHD filter with negative binomial clutter
    19th International Conference on Information Fusion (FUSION)
    (IEEE Xplore)
  • [C20] J. Franco, E.D. Delande, C. Früh, J. Houssineau and D.E. Clark: A spherical co-ordinate space parameterisation for orbit estimation
    IEEE Aerospace Conference
    (IEEE Xplore)
  • [C19] O. Hagen, J. Houssineau, I. Schlangen, E.D. Delande, J. Franco and D. E. Clark: Joint estimation of telescope drift and space debris tracking
    IEEE Aerospace Conference
    (IEEE Xplore)

– 2015

  • [R5] E.D. Delande, J. Houssineau and D.E. Clark: Multi-object filtering with stochastic populations
    (arXiv:1501.04671)
  • [R4] D.E. Clark, J. Houssineau and E.D. Delande: A few calculus rules for chain differentials
    ArXiv preprint, arXiv:1506.08626
  • [C18] J. Houssineau, D.E. Clark and P. Del Moral: A sequential Monte Carlo approximation of the HISP filter
    European Signal Processing Conference (EUSIPCO)
    (Eurasip.org)
  • [C17] M. Andrecki, E.D. Delande, J. Houssineau and D.E. Clark: Sensor management with regional statistics for the PHD filter
    IEEE Sensor Signal Processing for Defence (SSPD)
    (Preprint)
  • [C16] I. McKenna, F. Tonolini, R. Tobin, J. Houssineau, H. Bridle, C. McDougall, I. Schlangen, J.S. McGrath, M. Jimenez and D.E. Clark: Observing the dynamics of waterborne pathogens for assessing the level of contamination
    IEEE Sensor Signal Processing for Defence (SSPD)
    (Preprint)
  • [C15] O. Hagen, K. Istenič, V. Bharti, M.A. Dhali, D. Barmaimon, J. Houssineau and D. E. Clark: Calibration of asynchronous smart phone cameras from moving objects
    12th International Conference on Quality Control by Artificial Vision
    (SPIE Digital Library)
  • [C14] E.D. Delande, C. Früh, J. Houssineau and D.E. Clark: Multi-object filtering for space situational awareness
    25th AAS/AIAA Space Flight Mechanics Meeting
    (Preprint)

– 2014

  • [C13] C.S. Lee, J. Franco, J. Houssineau and D.E. Clark: Accelerating the single cluster PHD filter with a GPU implementation
    3rd International Conference on Control, Automation and Information Sciences (ICCAIS)
    (Preprint)
  • [C12] I. Schlangen, J. Houssineau and D.E. Clark: A novel approach to image calibration in super-resolution microscopy
    3rd International Conference on Control, Automation and Information Sciences (ICCAIS)
    (Preprint)
  • [C11] E.D. Delande, J. Houssineau and D.E. Clark: Performance metric in closed-loop sensor management for stochastic populations
    IEEE Sensor Signal Processing for Defence (SSPD)
    (Preprint)
  • [C10] J. Houssineau and D.E. Clark: Bayesian estimation of multi-object systems with independently identically distributed correlations
    IEEE Statistical Signal Processing Workshop (SSP)
    (IEEE Xplore)
  • [C9] D.E. Clark and J. Houssineau: Faa di Bruno’s formula and Volterra series
    IEEE Statistical Signal Processing Workshop (SSP)
    (IEEE Xplore)
  • [C8] Y. Pailhas, J. Houssineau, E.D. Delande, Y. Petillot and D.E. Clark: Tracking underwater objects using large MIMO sonar systems
    International Conference on Underwater Acoustic
    (Preprint)

– 2013

  • [C7] J. Houssineau, P. Del Moral and D.E. Clark: General multi-object filtering and association measure
    5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
    (Preprint)
  • [C6] J. Franco, J. Houssineau, D.E. Clark and C. Rickman: Simultaneous tracking of multiple particles and sensor position estimation in fluorescence microscopy images
    2nd International Conference on Control, Automation and Information Sciences (ICCAIS)
    (IEEE Xplore)
  • [C5] E.D. Delande, J. Houssineau and D.E. Clark: Localised variance in target number for the Cardinalized Probability Hypothesis Density filter
    16th International Conference on Information Fusion (FUSION)
    (Preprint)
  • [C4] E.D. Delande, J. Houssineau and D.E. Clark: PHD filtering with localised target number variance
    SPIE Defense, Security, and Sensing
    (SPIE Digital Library)
  • [R3] D.E. Clark and J. Houssineau: Faà di Bruno’s formula for chain differentials
    ArXiv Preprint, arXiv:1310.2833
  • [R2] J. Houssineau, E.D. Delande and D.E. Clark: Notes of the Summer School on Finite Set Statistics
    ArXiv Preprint, arXiv:1308.2586

– 2012

  • [R1] D.E. Clark and J. Houssineau: Faa di Bruno’s formula for Gateaux differentials and interacting stochastic population processes
    ArXiv Preprint, arXiv:1202.0264
  • [C3] J. Houssineau, S. Ivekovič and D.E. Clark: Disparity space: A parameterisation for Bayesian triangulation from multiple cameras
    15th International Conference on Information Fusion (FUSION)
    (IEEE Xplore)

– 2010

  • [C2] J. Houssineau and D. Laneuville: PHD filter with diffuse spatial prior on the birth process with applications to GM-PHD filter
    13th International Conference on Information Fusion (FUSION)
    (IEEE Xplore)
  • [C1] D. Laneuville and J. Houssineau: Passive multi target tracking with GM-PHD filter
    13th International Conference on Information Fusion (FUSION)
    (IEEE Xplore)