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[P1] O. Isupova, "Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video", PhD Thesis, University of Sheffield, .[P2] A. De Freitas, "Sequential Monte Carlo Methods for Crowd and Extended Object Tracking and Dealing with Tall Data", PhD Thesis, University of Sheffield, .Top
Licentiate Theses
[L1] P. Kasebzadeh, "Parameter Estimation for Mobile Positioning Applications", Licentiate of Engineering Thesis, Linköping University, .[L2] Yuxin Zhao, "Position Estimation in Uncertain Radio Environments and Trajectory Learning", Licentiate of Engineering Thesis, Linköping University, .
[B1] M.A. Cagri Tuncer, and D. Schulz. Simultaneous Segmentation and Tracking in 3D Point Cloud Data in "Informatics in Control, Automation and Robotics - European Project Space". SCITEPRESS, .
(Accepted)
[B2] D. Kolev, M. Suvorov, and D. Kangin. Kernel Models and Support Vector Machines in "Handbook on Computational Intelligence". World Scientific, .
[J1] O. Isupova, D. Kuzin and L. Mihaylova, "Learning Methods for Dynamic Topic Modeling in Automated Behaviour Analysis", IEEE Transactions on Neural Networks and Learning Systems, .
(conditionally accepted subject to minor corrections)
[J2] M. Altamash Khan, A. de Freitas, M. Ulmke, L.Mihaylova, and W. Koch, "Improving Adaptive Sequential Markov Chain Monte Carlo using the Log-Homotopy based Particle Flow", Advances and in Information Fusion (JAIF), .
(To be submitted)
[J3] O. Isupova, D. Kuzin, F. Gustafsson and L. Mihaylova, "Change Point Detection with Gaussian Processes", IEEE Transactions on Pattern Analysis and Machine Intelligence, .
(under review)
[J4] O. Isupova, L. Mihaylova, D. Kuzin, "A new inference scheme for behaviour analysis in video based on the MCTM", TBD, .
(Under preparation)
[J5] Z. Li, O. Isupova, L. Mihaylova and L.Rossi, "Autonomous Flame Detection in Video with a Dirichlet Process Gaussian Mixture Colour Model", IEEE Transactions on Industrial Informatics, .
(submitted)
[J6] M. Altamash Khan, M. Ulmke and W. Koch, "Analysis of Log-Homotopy based Particle Flow Filters", ISIF Journal of Advances in Information Fusion, .[J7] A. De Freitas, F. Septier, L. Mihaylova and S. Godsill, "Object Tracking in Complex Systems with Subsampling Sequential MCMC", IEEE Transactions on Signal Processing, .
(Under preparation)
[J8] Y. Zhao, C. Fritsche, F. Yin, F. Gunnarsson, and F. Gustafsson, "Sequential Monte Carlo methods and theoretical bounds for state inference based on proximity reports", IEEE Transactions on Vehicular Technology, .
(To be submitted)
[J9] Y. Zhao, C. Liu, L. S. Mihaylova, and F. Guannarsson, "Deterministic Kriging and probabilistic Gaussian processes for RSS reconstruction in indoor localization", Transactions on Intelligent Transportation Systems, .
(To be submitted)
[J10] A. De Freitas, L. Mihaylova, A. Gning, M. Schikora, M. Ulmke, D. Angelova and W. Koch, "Box Particle Filtering for State and Parameter Estimation of Multiple Extended Objects", IEEE Transactions on Signal Processing, .
(submitted)
[J11] F. Yin, Y. Zhao, F. Guannarsson and F. Gustafsson, "Received-Signal-Strength Threshold Optimization Using Gaussian Processes", in IEEE Transactions on Signal Processing, Vol. 65, pp. 2164-2177, .[J12] F. Yin, and F. Gunnarsson, "Distributed Recursive Gaussian Processes for RSS Map Applied to Target Tracking", IEEE Journal of Selected Topics in Signal Processing, special issue on Cooperative Signal Processing for Heterogeneous and Multi-Task Wireless Sensor Networks, .[J13] A. De Freitas, L. Mihaylova, A. Gning, D. Angelova, and V. Kadirkamanathan, "Autonomous crowds tracking with box particle filtering and convolution particle filtering", Automatica, .
[J14] A. de Freitas, L. Mihaylova, A. Gning, M. Schikora, M. Ulmke, D. Angelova and W. Koch, "Box Particle/ Particle Filtering for State and Parameter Estimation of Extended Objects", IEEE Transactions on Signal Processing, .[J15] F. Yin, C. Fritsche, D. Jin, F. Gustafsson and A. Zoubir, "Cooperative Localization in WSNs Using Gaussian Mixture Modeling: Distributed ECM Algorithms", IEEE Transactions on Signal Processing, Vol. 63, No. 6, pp. 1448-1463, .Top
Conference Publications
[C1] P. Pileggi, M. Podt and M. Bocquel, "Integrated Processing for Extended Target Tracking using Sequential Hamiltonian Monte Carlo", in Proceedings of 20th International Conference on Information Fusion. Xi'an, China, .
[C2] A. De Freitas, C. Fritsche, L. Mihaylova and F. Gunnarsson, "A novel measurement processing approach to the parallel expectation propagation unscented Kalman filter", in Proceedings of 20th International Conference on Information Fusion. Xi´an, China, .
[C3] P.kasebzadeh, G.Hendeby, C.Fritsche, F.Gunnarsson and F.Gustafsson, "Motion and Device Mode Recognition Using IMU Signals", in Proceeding of 8th IPIN Conference. Sapporo, Japan, .[C4] M. Altamash Khan, A. de Freitas, M. Ulmke, L.Mihaylova, and W. Koch, "Bayesian processing of Big data with Log-Homotopy based Particle Flow Filters", in Proceedings of the Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF). Bonn, Germany, .[C5] O. Isupova, D. Kuzin and L. Mihaylova, "Nonparametric Topic Modeling for Discovering Dynamic Topic Transitions", in International Conference on Machine Learning, .
(submitted)
[C6] D. Kangin and G.Markarian, "Multi-Bernoulli Filter for Group Object Tracking and Its Gaussian-Wishart Implementation", in Proceedings of International Joint Conference on Neural Networks. Anchorage, Alaska, .
[C7] D. Kolev, and C.W. Johnson, "An Extension of Network Security Games for Large-Scale Infrastructure Protection", in Workshop on Artificial Intelligence for Smart Grids and Smart Buildings. San Francisco, CA, USA, .[C8] D. Kuzin, O. Isupova and L. Mihaylova, "Structured sparse modelling with hierarchical GP", in Proceedings of the workshop on Signal Processing with Adaptive Sparse Structured Representations. Lisbon, Portugal, .[C9] M. A. C. Tuncer and D. Schulz, "A Hybrid Method Using Temporal and Spatial Information for 3D Lidar Data Segmentation", in Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2017). Madrid, Spain, .[C10] R. Chen, M. Hawes, O. Isupova, L. Mihaylova and H. Zhu, "Online Vehicle Logo Recognition Using Cauchy Prior Logistic Regression", in Proceedings of 20th International Conference on Information Fusion. Xi´an, China, .
[C11] W. Wang and P. K. Mandal. , "A two-stage particle filter in high dimension", in Proceedings of 20th International Conference on Information Fusion. Xi´an, China, .
[C12] C. M. Leon, L. Mihaylova and H. Driessen, "Tracking of Interacting Targets", in Proceedings of 20th International Conference on Information Fusion. Xi´an, China, .
[C13] Y. Zhao, C. Gritsche and F. Gunnarsson, "Parametric lower bound for nonlinear filtering based on Gaussian process regression model", in Proceedings 20th International Conference on Information Fusion. Xi´an, China, .
[C14] K. Radnosrati, C. Fritsche, G. Hendeby, F. Gunnarsson and F. Gustafsson, "Performance Evaluation of OTDOA Positioning in Narrowband IoT Systems", in IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. Montreal, Canada, .[C15] A. De Freitas and L. Mihaylova, "Dealing with Massive Data with a Distributed Expectation Propagation Particle Filter for Object Tracking", in Proceedings of 19th International Conference on Information Fusion. Heidelberg, Germany, .
[C16] F. J. I. García, P. K. Mandal, M. Bocquel and H. Driessen, "Hierarchical fusion in particle filtering track-before-detect", in Proceedings of the International Conference on Information Fusion, pp. 743-749. Heidelberg, Germany, .
[C17] O. Isupova, D. Kuzin, and L. Mihaylova, "Anomaly Detection in Video with Bayesian nonparametrics", in ICML 2016 Anomaly Detection Workshop. New York, USA, .[C18] P. Kasebzadeh, C. Fritsche, G. Hendeby, F. Gunnarsson and F. Gustafsson, "Improved Pedestrian Dead Reckoning positioning with gait parameter learning", in Proceedings of International Conference on Information Fusion, pp. 379-385.. Heidelberg, Germany, .[C19] Z. Li, O. Isupova, L. Mihaylova, and L.Rossi, "Autonomous Flame Detection in Video Based on Saliency Analysis and Optical Flow", in IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems. Baden-Baden, Germany, .[C20] M. A. Khan, M. Ulmke and W. Koch, "A log homotopy based particle flow solution for mixture of Gaussian prior densities", in International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), pp. 546-551. Baden-Baden, Germany, .
[C21] B. Demissie, M. A. Khan and F. Govaers, "Nonlinear filter design using Fokker-Planck propagator in Kronecker tensor format", in International Conference on Information Fusion, pp. 1-8. Heidelberg, Germany, .
[C22] M. A. C. Tuncer and D. Schulz, "Sequential Distance Dependent Chinese Restaurant Process for Motion Segmentation of 3D Lidar Data", in Proceedings of 19th International Conference on Information Fusion, pp. 758-765. Heidelberg, Germany, .
[C23] M. Altamash Khan, M. Ulmke, B. Demissie, F. Govaers and W. Koch, "Combining log-homotopy flow with tensor decomposition based solution for Fokker-Planck equation", in International Conference on Information Fusion, pp. 2229-2236. Heidelberg, Germany, .
[C24] M. A. C. Tuncer and D. Schulz, "Integrated Object Segmentation and Tracking for 3D Lidar Data", in Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2016), Vol. 2, pp. 344-351. Lisbon, Portugal, .[C25] Y. Zhao, F. Yin, F. Gunnarsson, F. Hultkratz, and J. Fagerlind , "Gaussian processes for flow modeling and prediction of positioned trajectories evaluated with sports data", in International Conference on Information Fusion, pp. 1461-1468 . Heidelberg, Germany, .
[C26] F. Yin, Y. Zhao and F. Gunnarsson, "Fundamental Bounds on Position Estimation Using Proximity Reports", in Vehicular Technology Conference (VTC Spring), pp. 1-5. Nanjing, China, .
[C27] Y. Zhao, F. Yin, F. Gunnarsson, M. Amirijoo and G. Hendeby, "Gaussian processes for propagation modeling and proximity based indoor positioning", in Vehicular Technology Conference (VTC Spring), pp. 1-5. Nanjing, China, .
[C28] P. Pileggi and M. Podt, "Improving extent estimation of extended targets with track-before-detect", in Proceedings of 19th International Conference on Information Fusion. Heidelberg, Germany, .
[C29] K. Radnosrati, C. Fritsche, G. Hendeby, F. Gunnarsson, and F. Gustafsson, "Fusion of TOF and TDOA for 3GPP Positioning", in International Conference on Information Fusion. Heidelberg, Germany, .[C30] C. M. Leon; H. Driessen; P. K. Mandal, "Efficient characterization of labeling uncertainty in closely-spaced targets tracking", in Proceedings of the International Conference on Information Fusion, pp. 449 - 456. Heidelberg, Germany, .
[C31] A. De Freitas, F. Septier, L. Mihaylova, and S. Godsill, "How can subsampling reduce complexity in Sequential MCMC methods and deal with big data in target tracking?", in Proceedings of the International Conference on Information Fusion, pp. 134-141. Washington D.C., USA, .
[C32] D. Kolev, D. Kangin, and G. Markarian, "Data fusion for unsupervised video object detection, tracking and geo-positioning", in Proceedings of the International Conference on Information Fusion, pp. 142-149. Washington D.C., USA, .
[C33] F. Yin, Y. Zhao, and F. Gunnarsson, "Proximity report triggering threshold optimization for network-based indoor positioning", in Proceedings of the 18 International Conference on Information Fusion, pp. 1061-1069. Washington D.C., USA, .
[C34] D. Kangin, D. Kolev, and G. Markarian, "Multiple video object tracking using variational inference", in Proceedings of the Workshop on Sensor Data Fusion: Trends, Solutions, Applications. Bonn, Germany, .
[C35] Y. Zhao, F. Yin, F. Gunnarsson, M. Amirijoo, E. Özkan, and F. Gustafsson, "Particle filtering for positioning based on proximity reports", in Proceedings of the International Conference on Information Fusion, pp. 1046-1052. Washington D.C., USA, .
[C36] M. A. C. Tuncer and D. Schulz, "Monte Carlo based distance dependent Chinese restaurant process for segmentation of 3D LIDAR data using motion and spatial features", in Proceedings of the International Conference on Information Fusion, pp. 112-118. Washington D.C., USA, .
[C37] P. Kasebzadeh, C. Fritsche, E. Ozkan, F. Gunnarsson, and F. Gustafsson, "Joint antenna and propagation model parameter estimation using RSS measurements", in Proceedings of the International Conference on Information Fusion, pp. 98-103 . Washington D.C., USA, .
[C38] M. A. Khan and M. Ulmke, "Improvements in the implementation of the log-homotopy based particle flow filters", in Proceedings of the International Conference on Information Fusion, pp. 74-81. Washington D.C., USA, .
[C39] K. Radnosrati, F. Gunnarsson, and F. Gustafsson, "New trends in radio network positioning", in Proceedings of the International Conference on Information Fusion, pp. 492-498. Washington D.C., USA, .
[C40] F. J. Iglesias García, M. Bocquel, P. K. Mandal, and H. Driessen, "Acceptance probability of IP-MCMC-PF: revisited", in Proceedings of the Workshop on Sensor Data Fusion: Trends, Solutions, Applications. Bonn, Germany, .
[C41] F. J. Iglesias García, M. Bocquel, and H. Driessen, "Langevin Monte Carlo filtering for target tracking", in Proceedings of the International Conference on Information Fusion, pp. 82-89. Washington D.C., USA, .
[C42] F. Yin, Y. Zhao, and F. Gunnarsson, "RSS Thresholding for Proximity Based Indoor Positioning Using Wireless Networks", in Proc. Int. Conf. on Information Fusion. Washington D.C., USA , .[C43] O. Isupova, L. Mihaylova, D. Kuzin, G. Markarian, and F. Septier, "An expectation maximisation algorithm for behaviour analysis in video", in Proceedings of the International Conference on Information Fusion, pp. 126-133. Washington D.C., USA, .
[C44] D. Jin, F. Yin, C. Fritsche, A. Zoubir, and F. Gustafsson, "Efficient Cooperative Localization Algorithm in LOS/NLOS Environments", in European Signal Processing Conference (EUSIPCO). Nice, France, .[C45] D. Kuzin, O. Isupova, and L. Mihaylova, "Compressive sensing approaches for autonomous object detection in video sequences", in Proceedings of the Workshop on Sensor Data Fusion: Trends, Solutions, Applications. Bonn, Germany, .
[C46] D. Jin, F. Yin, C. Fritsche, F. Gustafsson, and A. Zoubir, "Dithering in Quantized RSS Based Localization", in IEEE Int. Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). Cancun, Mexico, .[C47] N. Petrov, L. Mihaylova, A. De Freitas, and A. Gning, "Crowd tracking with box particle filtering", in Proceedings of the International Conference on Information Fusion, pp. 82-89. Salamanca, Spain, .
[C48] F. J. Iglesias García, M. Bocquel, and H. Driessen, "Advanced IP-MCMC-PF design ingredients", in Proceedings of the International Conference on Information Fusion. Salamanca, Spain, .
[C49] M. A. Khan and M. Ulmke, "Non-linear and non-Gaussian state estimation using log-homotopy based particle flow filters", in Proceedings of the Workshop on Sensor Data Fusion: Trends, Solutions, Applications. Bonn, Germany, .
[U1] D. Kangin, "Intelligent video surveillance", Computer Sciences, Lancaster, .[U2] O. Isupova, D. Kuzin, and L. Mihaylova, "Abnormal behaviour detection in video using topic modeling", Department of Automatic Control and Systems Engineering, University of Sheffield Engineering Symposium, Sheffield, United Kingdom, .