MCMC-Based Particle Filtering for Tracking a Variable Number of Interacting Targets
IEEE Transactions on Pattern Analysis and Machine Intelligence
A General Framework for Combining Visual Trackers --- The "Black Boxes" Approach
International Journal of Computer Vision
Dynamical Gaussian mixture model for tracking elliptical living objects
Pattern Recognition Letters
Fast particle smoothing: if I had a million particles
ICML '06 Proceedings of the 23rd international conference on Machine learning
Approximate Bayesian Multibody Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust target detection and tracking through integration of motion, color, and geometry
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robotics and Autonomous Systems
Robust model-based scene interpretation by multilayered context information
Computer Vision and Image Understanding
A particle filter for joint detection and tracking of color objects
Image and Vision Computing
Adaptive multi-modal stereo people tracking without background modelling
Journal of Visual Communication and Image Representation
Pose estimation and tracking using multivariate regression
Pattern Recognition Letters
EURASIP Journal on Advances in Signal Processing
Pattern Recognition Letters
Face detection and tracking using a Boosted Adaptive Particle Filter
Journal of Visual Communication and Image Representation
A Multi-modal Particle Filter Based Motorcycle Tracking System
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
A Framework for Suspicious Action Detection with Mixture Distributions of Action Primitives
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Closed-world tracking of multiple interacting targets for indoor-sports applications
Computer Vision and Image Understanding
Image and Vision Computing
Computer Vision and Image Understanding
Multi-camera people tracking using evidential filters
International Journal of Approximate Reasoning
People detection and tracking with multiple stereo cameras using particle filters
Journal of Visual Communication and Image Representation
Mean field approach for tracking similar objects
Computer Vision and Image Understanding
Multi-Object Tracking Based on Particle Filter and Data Association in Color Image Sequences
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
IEEE Transactions on Multimedia - Special issue on integration of context and content
Tracking by parts: a Bayesian approach with component collaboration
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fast mixing hyperdynamic sampling
Image and Vision Computing
Contour tracking based on marginalized likelihood ratios
Image and Vision Computing
A Study on Smoothing for Particle-Filtered 3D Human Body Tracking
International Journal of Computer Vision
Pose estimation of multiple people using contour features from multiple laser range finders
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Combining auditory preprocessing and Bayesian estimation for robust formant tracking
IEEE Transactions on Audio, Speech, and Language Processing
Particle filtering with multiple and heterogeneous cameras
Pattern Recognition
Robust monocular detection of independent motion by a moving observer
IWCM'04 Proceedings of the 1st international conference on Complex motion
Rao-blackwellized marginal particle filtering for multiple object tracking in molecular bioimaging
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Multi-spectral fusion for surveillance systems
Computers and Electrical Engineering
Cascade particle filter for human tracking with multiple and heterogeneous cameras
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Particle filtering methods for motion analysis in tagged MRI
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Efficient particle filtering via sparse kernel density estimation
IEEE Transactions on Image Processing
Globally optimal multi-target tracking on a hexagonal lattice
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Multi-stage sampling with boosting cascades for pedestrian detection in images and videos
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Variational mixture smoothing for non-linear dynamical systems
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Multi-Camera Tracking with Adaptive Resource Allocation
International Journal of Computer Vision
Multi-target tracking by learning class-specific and instance-specific cues
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Tracking by cluster analysis of feature points and multiple particle filters
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Robust visual tracking for multiple targets
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Tracking targets via particle based belief propagation
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Multivariate relevance vector machines for tracking
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Tracking and labelling of interacting multiple targets
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Sequential stratified sampling belief propagation for multiple targets tracking
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Robust head tracking with particles based on multiple cues fusion
ECCV'06 Proceedings of the 2006 international conference on Computer Vision in Human-Computer Interaction
Shape from pairwise silhouettes for plan-view map generation
Image and Vision Computing
Tracking of multiple targets using on-line learning for appearance model adaptation
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Multiple human tracking in high-density crowds
Image and Vision Computing
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
Tracking of multidimensional TDOA for multiple sources with distributed microphone pairs
Computer Speech and Language
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Robust visual localization of a humanoid robot in a symmetric space
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Multitarget tracking of pedestrians in video sequences based on particle filters
Advances in Multimedia
An association-based multi-target tracking method
Proceedings of the 2013 Research in Adaptive and Convergent Systems
Adaptive multi-modal particle filtering for probabilistic white matter tractography
IPMI'13 Proceedings of the 23rd international conference on Information Processing in Medical Imaging
Tracking-by-detection of multiple persons by a resample-move particle filter
Machine Vision and Applications
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In recent years particle filters have become a tremendouslypopular tool to perform tracking for non-linearand/or non-Gaussian models. This is due to their simplicity,generality and success over a wide range of challengingapplications. Particle filters, and Monte Carlo methodsin general, are however poor at consistently maintainingthe multi-modality of the target distributions that may arisedue to ambiguity or the presence of multiple objects. Toaddress this shortcoming this paper proposes to model thetarget distribution as a non-parametric mixture model, andpresents the general tracking recursion in this case. It isshown how a Monte Carlo implementation of the generalrecursion leads to a mixture of particle filters that interactonly in the computation of the mixture weights, thus leadingto an efficient numerical algorithm, where all the resultspertaining to standard particle filters apply. The ability ofthe new method to maintain posterior multi-modality is illustratedon a synthetic example and a real world trackingproblem involving the tracking of football players in a videosequence.