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2020 – today
- 2024
[j49]Hoa Van Nguyen
, Ba-Ngu Vo, Ba-Tuong Vo, Hamid Rezatofighi, Damith C. Ranasinghe:
Multi-Objective Multi-Agent Planning for Discovering and Tracking Multiple Mobile Objects. IEEE Trans. Signal Process. 72: 3669-3685 (2024)- 2023
- [j48]Tran Thien Dat Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Ba-Tuong Vo, Silvio Savarese, Ian D. Reid:
How Trustworthy are Performance Evaluations for Basic Vision Tasks? IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8538-8552 (2023) - [j47]Changbeom Shim, Ba-Tuong Vo, Ba-Ngu Vo, Jonah Ong, Diluka Moratuwage:
Linear Complexity Gibbs Sampling for Generalized Labeled Multi-Bernoulli Filtering. IEEE Trans. Signal Process. 71: 1981-1994 (2023) - 2022
- [j46]Jonah Ong, Ba-Tuong Vo, Ba-Ngu Vo, Du Yong Kim, Sven Nordholm:
A Bayesian Filter for Multi-View 3D Multi-Object Tracking With Occlusion Handling. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2246-2263 (2022) - [j45]Jonah Ong, Ba-Tuong Vo, Sven Nordholm, Ba-Ngu Vo, Diluka Moratuwage, Changbeom Shim:
Audio-Visual Based Online Multi-Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1219-1234 (2022) - [j44]Diluka Moratuwage, Ba-Ngu Vo, Ba-Tuong Vo, Changbeom Shim:
Multi-Scan Multi-Sensor Multi-Object State Estimation. IEEE Trans. Signal Process. 70: 5429-5442 (2022) - [c44]Yuthika Punchihewa, Ba-Tuong Vo, Ba-Ngu Vo, Amanda Bessell, Sanjeev Arulampalam, Jessica Irons, Samuel J. Davey:
Target Motion Analysis via Hard and Soft Data Fusion. ICCAIS 2022: 101-106 - [i15]Hoa Van Nguyen, Ba-Ngu Vo, Ba-Tuong Vo, Hamid Rezatofighi, Damith C. Ranasinghe:
Multi-Objective Multi-Agent Planning for Discovering and Tracking Unknown and Varying Number of Mobile Objects. CoRR abs/2203.04551 (2022) - [i14]Diluka Moratuwage, Ba-Ngu Vo, Ba-Tuong Vo, Changbeom Shim:
Multi-Scan Multi-Sensor Multi-Object State Estimation. CoRR abs/2205.15516 (2022) - 2021
- [j43]Jonah Ong, Ba-Tuong Vo, Sven Nordholm:
Blind Separation for Multiple Moving Sources With Labeled Random Finite Sets. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2137-2151 (2021) - [j42]Tran Thien Dat Nguyen, Ba-Ngu Vo, Ba-Tuong Vo, Du Yong Kim, Yu Suk Choi:
Tracking Cells and Their Lineages Via Labeled Random Finite Sets. IEEE Trans. Signal Process. 69: 5611-5626 (2021) - 2020
- [j41]Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo:
A Solution for Large-Scale Multi-Object Tracking. IEEE Trans. Signal Process. 68: 2754-2769 (2020) - [i13]Jonah Ong, Ba-Tuong Vo, Ba-Ngu Vo, Du Yong Kim, Sven Nordholm:
A Bayesian 3D Multi-view Multi-object Tracking Filter. CoRR abs/2001.04118 (2020) - [i12]Hamid Rezatofighi, Tran Thien Dat Nguyen, Ba-Ngu Vo, Ba-Tuong Vo, Silvio Savarese, Ian D. Reid:
How Trustworthy are the Existing Performance Evaluations for Basic Vision Tasks? CoRR abs/2008.03533 (2020)
2010 – 2019
- 2019
- [j40]Du Yong Kim, Ba-Ngu Vo, Ba-Tuong Vo, Moongu Jeon:
A labeled random finite set online multi-object tracker for video data. Pattern Recognit. 90: 377-389 (2019) - [j39]Ba-Ngu Vo, Ba-Tuong Vo:
A Multi-Scan Labeled Random Finite Set Model for Multi-Object State Estimation. IEEE Trans. Signal Process. 67(19): 4948-4963 (2019) - [j38]Ba-Ngu Vo, Ba-Tuong Vo, Michael Beard:
Multi-Sensor Multi-Object Tracking With the Generalized Labeled Multi-Bernoulli Filter. IEEE Trans. Signal Process. 67(23): 5952-5967 (2019) - 2018
- [j37]Ba-Ngu Vo, Nhan Dam, Dinh Q. Phung, Quang N. Tran, Ba-Tuong Vo:
Model-based learning for point pattern data. Pattern Recognit. 84: 136-151 (2018) - [j36]Claudio Fantacci, Ba-Ngu Vo, Ba-Tuong Vo, Giorgio Battistelli, Luigi Chisci:
Robust Fusion for Multisensor Multiobject Tracking. IEEE Signal Process. Lett. 25(5): 640-644 (2018) - [j35]Yuthika Gardiyawasam Punchihewa, Ba-Tuong Vo, Ba-Ngu Vo, Du Yong Kim:
Multiple Object Tracking in Unknown Backgrounds With Labeled Random Finite Sets. IEEE Trans. Signal Process. 66(11): 3040-3055 (2018) - [j34]Daniel S. Bryant, Ba-Tuong Vo, Ba-Ngu Vo, Brandon A. Jones:
A Generalized Labeled Multi-Bernoulli Filter With Object Spawning. IEEE Trans. Signal Process. 66(23): 6177-6189 (2018) - [c43]Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo:
Performance Evaluation for Large-Scale Multi-Target Tracking Algorithms. FUSION 2018: 1-5 - [c42]Ba-Tuong Vo, Ba-Ngu Vo:
Multi-Scan Generalized Labeled Multi-Bernoulli Filter. FUSION 2018: 195-202 - 2017
- [j33]Ba-Ngu Vo, Ba-Tuong Vo, Hung Gia Hoang:
An Efficient Implementation of the Generalized Labeled Multi-Bernoulli Filter. IEEE Trans. Signal Process. 65(8): 1975-1987 (2017) - [j32]Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo, Sanjeev Arulampalam:
Void Probabilities and Cauchy-Schwarz Divergence for Generalized Labeled Multi-Bernoulli Models. IEEE Trans. Signal Process. 65(19): 5047-5061 (2017) - [c41]Ba-Ngu Vo, Ba-Tuong Vo:
An implementation of the multi-sensor generalized labeled multi-Bernoulli filter via Gibbs sampling. FUSION 2017: 1-8 - [c40]Du Yong Kim, Ba-Tuong Vo, Sven Nordholm:
Multiple speaker tracking with the GLMB filter. ICCAIS 2017: 38-43 - [c39]Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo:
OSPA(2): Using the OSPA metric to evaluate multi-target tracking performance. ICCAIS 2017: 86-91 - [c38]Daniel S. Bryant, Ba-Tuong Vo, Ba-Ngu Vo, Brandon A. Jones:
A labeled random finite set spawning model. ICCAIS 2017: 215-220 - [i11]Ba-Ngu Vo, Quang N. Tran, Dinh Q. Phung, Ba-Tuong Vo:
Model-based Classification and Novelty Detection For Point Pattern Data. CoRR abs/1701.08473 (2017) - [i10]Quang N. Tran, Ba-Ngu Vo, Dinh Q. Phung, Ba-Tuong Vo:
Clustering For Point Pattern Data. CoRR abs/1702.02262 (2017) - [i9]Ba-Ngu Vo, Dinh Q. Phung, Quang N. Tran, Ba-Tuong Vo:
Model-Based Multiple Instance Learning. CoRR abs/1703.02155 (2017) - [i8]Quang N. Tran, Ba-Ngu Vo, Dinh Q. Phung, Ba-Tuong Vo, Nguyen Cong Thuong:
Multiple Instance Learning with the Optimal Sub-Pattern Assignment Metric. CoRR abs/1703.08933 (2017) - 2016
- [j31]Michael Beard, Stephan Reuter, Karl Granström, Ba-Tuong Vo, Ba-Ngu Vo, Alexander Scheel:
Multiple Extended Target Tracking With Labeled Random Finite Sets. IEEE Trans. Signal Process. 64(7): 1638-1653 (2016) - [c37]Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo:
Generalised labelled multi-Bernoulli forward-backward smoothing. FUSION 2016: 688-694 - [c36]Yuthika Punchihewa, Ba-Ngu Vo, Ba-Tuong Vo:
A Generalized Labeled Multi-Bernoulli filter for maneuvering targets. FUSION 2016: 980-986 - [c35]Du Yong Kim, Ba-Ngu Vo, Ba-Tuong Vo:
Multi-object particle filter revisited. ICCAIS 2016: 42-47 - [c34]Nicholas Chong, Sven Nordholm, Ba-Tuong Vo, Iain Murray:
Tracking and separation of multiple moving speech sources via cardinality balanced multi-target multi Bernoulli (CBMeMBer) filter and time frequency masking. ICCAIS 2016: 88-93 - [c33]Shoufeng Lin, Ba-Tuong Vo, Sven E. Nordholm:
Measurement driven birth model for the generalized labeled multi-Bernoulli filter. ICCAIS 2016: 94-99 - [c32]Ba-Ngu Vo, Nhat-Quang Tran, Dinh Q. Phung, Ba-Tuong Vo:
Model-based classification and novelty detection for point pattern data. ICPR 2016: 2622-2627 - [c31]Nhat-Quang Tran, Ba-Ngu Vo, Dinh Q. Phung, Ba-Tuong Vo:
Clustering for point pattern data. ICPR 2016: 3174-3179 - [i7]Yuthika Punchihewa, Ba-Ngu Vo, Ba-Tuong Vo:
A Generalized Labeled Multi-Bernoulli Filter for Maneuvering Targets. CoRR abs/1603.04565 (2016) - [i6]Du Yong Kim, Ba-Ngu Vo, Ba-Tuong Vo:
Online Visual Multi-Object Tracking via Labeled Random Finite Set Filtering. CoRR abs/1611.06011 (2016) - 2015
- [j30]Hung Gia Hoang, Ba-Ngu Vo, Ba-Tuong Vo, Ronald P. S. Mahler:
The Cauchy-Schwarz Divergence for Poisson Point Processes. IEEE Trans. Inf. Theory 61(8): 4475-4485 (2015) - [j29]Seyed Hamid Rezatofighi, Stephen Gould, Ba-Tuong Vo, Ba-Ngu Vo, Katarina Mele, Richard I. Hartley:
Multi-Target Tracking With Time-Varying Clutter Rate and Detection Profile: Application to Time-Lapse Cell Microscopy Sequences. IEEE Trans. Medical Imaging 34(6): 1336-1348 (2015) - [j28]Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo:
Bayesian Multi-Target Tracking With Merged Measurements Using Labelled Random Finite Sets. IEEE Trans. Signal Process. 63(6): 1433-1447 (2015) - [j27]Francesco Papi, Ba-Ngu Vo, Ba-Tuong Vo, Claudio Fantacci, Michael Beard:
Generalized Labeled Multi-Bernoulli Approximation of Multi-Object Densities. IEEE Trans. Signal Process. 63(20): 5487-5497 (2015) - [c30]Stephan Reuter, Alexander Scheel, Michael Beard, Karl Granström, Ba-Tuong Vo, Ba-Ngu Vo, Klaus Dietmayer:
Environment Perception for Companion Systems. ISCT 2015: 68-72 - [c29]Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo, Sanjeev Arulampalam:
Sensor control for multi-target tracking using Cauchy-Schwarz divergence. FUSION 2015: 937-944 - [c28]Michael Beard, Stephan Reuter, Karl Granström, Ba-Tuong Vo, Ba-Ngu Vo, Alexander Scheel:
A generalised labelled multi-Bernoulli filter for extended multi-target tracking. FUSION 2015: 991-998 - [c27]Hung Gia Hoang, Ba-Tuong Vo, Ba-Ngu Vo:
A fast implementation of the generalized labeled multi-Bernoulli filter with joint prediction and update. FUSION 2015: 999-1006 - [c26]Brandon A. Jones, Daniel S. Bryant, Ba-Tuong Vo, Ba-Ngu Vo:
Challenges of multi-target tracking for space situational awareness. FUSION 2015: 1278-1285 - [i5]Claudio Fantacci, Ba-Ngu Vo, Ba-Tuong Vo, Giorgio Battistelli, Luigi Chisci:
Consensus Labeled Random Finite Set Filtering for Distributed Multi-Object Tracking. CoRR abs/1501.01579 (2015) - [i4]Hung Gia Hoang, Ba-Tuong Vo, Ba-Ngu Vo:
A Generalized Labeled Multi-Bernoulli Filter Implementation using Gibbs Sampling. CoRR abs/1506.00821 (2015) - [i3]Seyed Hamid Rezatofighi, Stephen Gould, Ba-Tuong Vo, Ba-Ngu Vo, Katarina Mele, Richard I. Hartley:
Multi-Target Tracking with Time-Varying Clutter Rate and Detection Profile: Application to Time-lapse Cell Microscopy Sequences. CoRR abs/1507.06397 (2015) - 2014
- [j26]Hung Gia Hoang, Ba-Tuong Vo:
Sensor management for multi-target tracking via multi-Bernoulli filtering. Autom. 50(4): 1135-1142 (2014) - [j25]Shanhung Wong, Ba-Tuong Vo, Francesco Papi:
Bernoulli Forward-Backward Smoothing for Track-Before-Detect. IEEE Signal Process. Lett. 21(6): 727-731 (2014) - [j24]Stephan Reuter, Ba-Tuong Vo, Ba-Ngu Vo, Klaus Dietmayer:
The Labeled Multi-Bernoulli Filter. IEEE Trans. Signal Process. 62(12): 3246-3260 (2014) - [j23]Ba-Ngu Vo, Ba-Tuong Vo, Dinh Q. Phung:
Labeled Random Finite Sets and the Bayes Multi-Target Tracking Filter. IEEE Trans. Signal Process. 62(24): 6554-6567 (2014) - [c25]Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo:
Multi-target tracking with merged measurements using labelled random finite sets. FUSION 2014: 1-8 - [c24]Ángel F. García-Fernández, Ba-Ngu Vo, Ba-Tuong Vo:
MCMC-based posterior independence approximation for RFS multitarget particle filters. FUSION 2014: 1-8 - [c23]Stephan Reuter, Ba-Tuong Vo, Ba-Ngu Vo, Klaus Dietmayer:
Multi-object tracking using labeled multi-Bernoulli random finite sets. FUSION 2014: 1-8 - [c22]Nicholas Chong, Shanhung Wong, Ba-Tuong Vo, Sven Nordholm, Iain Murray:
Multiple moving speaker tracking via degenerate unmixing estimation technique and Cardinality Balanced Multi-target Multi-Bernoulli Filter (DUET-CBMeMBer). ISSNIP 2014: 1-6 - [c21]Ba-Ngu Vo, Ba-Tuong Vo:
A stochastic geometric approach to sensor array processing. SSP 2014: 236-239 - [c20]Hung Gia Hoang, Ba-Ngu Vo, Ba-Tuong Vo, Ronald P. S. Mahler:
The Cauchy-Schwarz divergence for poisson point processes. SSP 2014: 240-243 - 2013
- [j22]Ba-Tuong Vo, Ba-Ngu Vo, Reza Hoseinnezhad, Ronald P. S. Mahler:
Robust Multi-Bernoulli Filtering. IEEE J. Sel. Top. Signal Process. 7(3): 399-409 (2013) - [j21]Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo:
Multitarget Filtering With Unknown Clutter Density Using a Bootstrap GMCPHD Filter. IEEE Signal Process. Lett. 20(4): 323-326 (2013) - [j20]Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo, Sanjeev Arulampalam:
A Partially Uniform Target Birth Model for Gaussian Mixture PHD/CPHD Filtering. IEEE Trans. Aerosp. Electron. Syst. 49(4): 2835-2844 (2013) - [j19]Reza Hoseinnezhad, Ba-Ngu Vo, Ba-Tuong Vo:
Visual Tracking in Background Subtracted Image Sequences via Multi-Bernoulli Filtering. IEEE Trans. Signal Process. 61(2): 392-397 (2013) - [j18]Branko Ristic, Ba-Tuong Vo, Ba-Ngu Vo, Alfonso Farina:
A Tutorial on Bernoulli Filters: Theory, Implementation and Applications. IEEE Trans. Signal Process. 61(13): 3406-3430 (2013) - [j17]Ba-Tuong Vo, Ba-Ngu Vo:
Labeled Random Finite Sets and Multi-Object Conjugate Priors. IEEE Trans. Signal Process. 61(13): 3460-3475 (2013) - [c19]Amirali Khodadadian Gostar, Reza Hoseinnezhad, Alireza Bab-Hadiashar, Ba-Tuong Vo:
Control of sensor with unknown clutter and detection profile using Multi-Bernoulli filter. FUSION 2013: 1021-1028 - [c18]Stephan Reuter, Ba-Tuong Vo, Benjamin Wilking, Daniel Alexander Meissner, Klaus Dietmayer:
Divergence detectors for the δ-generalized labeled multi-Bernoulli filter. SDF 2013: 1-6 - [i2]Hung Gia Hoang, Ba-Tuong Vo:
Sensor management for multi-target tracking via Multi-Bernoulli filtering. CoRR abs/1312.6215 (2013) - [i1]Hung Gia Hoang, Ba-Ngu Vo, Ba-Tuong Vo, Ronald P. S. Mahler:
The Cauchy-Schwarz divergence for Poisson point processes. CoRR abs/1312.6224 (2013) - 2012
- [j16]Reza Hoseinnezhad, Ba-Ngu Vo, Ba-Tuong Vo, David Suter:
Visual tracking of numerous targets via multi-Bernoulli filtering of image data. Pattern Recognit. 45(10): 3625-3635 (2012) - [j15]Ronald P. S. Mahler, Ba-Tuong Vo, Ba-Ngu Vo:
Forward-Backward Probability Hypothesis Density Smoothing. IEEE Trans. Aerosp. Electron. Syst. 48(1): 707-728 (2012) - [j14]Ba-Tuong Vo, Chong Meng Samson See, Ning Ma, Wee Teck Ng:
Multi-Sensor Joint Detection and Tracking with the Bernoulli Filter. IEEE Trans. Aerosp. Electron. Syst. 48(2): 1385-1402 (2012) - [j13]Branko Ristic, Daniel E. Clark, Ba-Ngu Vo, Ba-Tuong Vo:
Adaptive Target Birth Intensity for PHD and CPHD Filters. IEEE Trans. Aerosp. Electron. Syst. 48(2): 1656-1668 (2012) - [j12]Ba-Ngu Vo, Ba-Tuong Vo, Ronald P. S. Mahler:
Closed-Form Solutions to Forward-Backward Smoothing. IEEE Trans. Signal Process. 60(1): 2-17 (2012) - [j11]Ba-Ngu Vo, Ba-Tuong Vo, Nam-Trung Pham, David Suter:
Reply to "Comments on 'Joint Detection and Estimation of Multiple Objects from Image Observations'". IEEE Trans. Signal Process. 60(3): 1540-1541 (2012) - [c17]Ba-Tuong Vo:
On Bayesian filtering for multi-object systems. CISS 2012: 1-6 - [c16]Ba-Tuong Vo, Ba-Ngu Vo:
The para-normal Bayes multi-target filter and the spooky effect. FUSION 2012: 173-180 - [c15]Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo, Sanjeev Arulampalam:
Gaussian mixture PHD and CPHD filtering with partially uniform target birth. FUSION 2012: 535-541 - [c14]Shanhung Wong, Ba-Tuong Vo, Ba-Ngu Vo, Reza Hoseinnezhad:
Multi-Bernoulli based track-before-detect with road constraints. FUSION 2012: 840-846 - 2011
- [b1]John Mullane, Ba-Ngu Vo, Martin Adams, Ba-Tuong Vo:
Random Finite Sets for Robot Mapping and SLAM - New Concepts in Autonomous Robotic Map Representations. Springer Tracts in Advanced Robotics 72, Springer 2011, ISBN 978-3-642-21389-2, pp. 1-136 [contents] - [j10]John Mullane, Ba-Ngu Vo, Martin David Adams, Ba-Tuong Vo:
A Random-Finite-Set Approach to Bayesian SLAM. IEEE Trans. Robotics 27(2): 268-282 (2011) - [j9]Branko Ristic, Ba-Ngu Vo, Daniel E. Clark, Ba-Tuong Vo:
A Metric for Performance Evaluation of Multi-Target Tracking Algorithms. IEEE Trans. Signal Process. 59(7): 3452-3457 (2011) - [j8]Ronald P. S. Mahler, Ba-Tuong Vo, Ba-Ngu Vo:
CPHD Filtering With Unknown Clutter Rate and Detection Profile. IEEE Trans. Signal Process. 59(8): 3497-3513 (2011) - [j7]Ba-Tuong Vo, Daniel E. Clark, Ba-Ngu Vo, Branko Ristic:
Bernoulli Forward-Backward Smoothing for Joint Target Detection and Tracking. IEEE Trans. Signal Process. 59(9): 4473-4477 (2011) - [c13]Ba-Tuong Vo, Ba-Ngu Vo, Reza Hoseinnezhad, Ronald P. S. Mahler:
Multi-Bernoulli filtering with unknown clutter intensity and sensor field-of-view. CISS 2011: 1-6 - [c12]Ronald P. S. Mahler, Ba-Tuong Vo, Ba-Ngu Vo:
CPHD filtering with unknown clutter rate and detection profile. FUSION 2011: 1-8 - [c11]Reza Hoseinnezhad, Ba-Ngu Vo, Ba-Tuong Vo, David Suter:
Bayesian integration of audio and visual information for multi-target tracking using a CB-member filter. ICASSP 2011: 2300-2303 - [c10]John Mullane, Ba-Ngu Vo, Martin Adams, Ba-Tuong Vo:
Mobile Robotics in a Random Finite Set Framework. ICSI (2) 2011: 519-528 - 2010
- [j6]Daniel E. Clark, Branko Ristic, Ba-Ngu Vo, Ba-Tuong Vo:
Bayesian multi-object filtering with amplitude feature likelihood for unknown object SNR. IEEE Trans. Signal Process. 58(1): 26-37 (2010) - [j5]Ba-Ngu Vo, Ba-Tuong Vo, Nam-Trung Pham, David Suter:
Joint detection and estimation of multiple objects from image observations. IEEE Trans. Signal Process. 58(10): 5129-5141 (2010) - [c9]Ronald P. S. Mahler, Ba-Ngu Vo, Ba-Tuong Vo:
The forward-backward Probability Hypothesis Density smoother. FUSION 2010: 1-8 - [c8]Ba-Ngu Vo, Ba-Tuong Vo, Ronald P. S. Mahler:
A closed form solution to the Probability Hypothesis Density Smoother. FUSION 2010: 1-8 - [c7]Reza Hoseinnezhad, Ba-Ngu Vo, David Suter, Ba-Tuong Vo:
Multi-object filtering from image sequence without detection. ICASSP 2010: 1154-1157
2000 – 2009
- 2009
- [j4]Ba-Tuong Vo, Ba-Ngu Vo, Antonio Cantoni:
The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations. IEEE Trans. Signal Process. 57(2): 409-423 (2009) - [c6]Ba-Ngu Vo, Ba-Tuong Vo, Nam-Trung Pham, David Suter:
Bayesian multi-object estimation from image observations. FUSION 2009: 890-898 - [c5]Daniel E. Clark, Ba-Tuong Vo, Ba-Ngu Vo:
Forward-backward sequential Monte Carlo smoothing for joint target detection and tracking. FUSION 2009: 899-906 - 2008
- [j3]Ba-Tuong Vo, Ba-Ngu Vo, Antonio Cantoni:
Bayesian Filtering With Random Finite Set Observations. IEEE Trans. Signal Process. 56(4): 1313-1326 (2008) - [j2]Dominic Schuhmacher, Ba-Tuong Vo, Ba-Ngu Vo:
A Consistent Metric for Performance Evaluation of Multi-Object Filters. IEEE Trans. Signal Process. 56(8-1): 3447-3457 (2008) - [c4]Dominic Schuhmacher, Ba-Tuong Vo, Ba-Ngu Vo:
On performance evaluation of multi-object filters. FUSION 2008: 1-8 - 2007
- [j1]Ba-Tuong Vo, Ba-Ngu Vo, Antonio Cantoni:
Analytic Implementations of the Cardinalized Probability Hypothesis Density Filter. IEEE Trans. Signal Process. 55(7-2): 3553-3567 (2007) - [c3]Ba-Tuong Vo, Ba-Ngu Vo, Antonio Cantoni:
A Bayesian Approach to Target Tracking with Finite-Set-Valued Observations. ISIC 2007: 458-463 - 2006
- [c2]Ba-Tuong Vo, Ba-Ngu Vo, Antonio Cantoni:
The Cardinalized Probability Hypothesis Density Filter for Linear Gaussian Multi-Target Models. CISS 2006: 681-686 - [c1]Ba-Tuong Vo, Ba-Ngu Vo, Antonio Cantoni:
Performance of PHD Based Multi-Target Filters. FUSION 2006: 1-8
Coauthor Index
Ronald Paxton-Sheets Mahler
aka: Ronald P. S. Mahler
aka: Ronald P. S. Mahler
[j49] [j48] [j47] [j46] [j45] [j44] [c44] [i15] [i14] [j42] [j41] [i13] [i12] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [c43] [c42] [j33] [j32] [c41] [c39] [c38] [i11] [i10] [i9] [i8] [j31] [c37] [c36] [c35] [c32] [c31] [i7] [i6] [j30] [j29] [j28] [j27] [c30] [c29] [c28] [c27] [c26] [i5] [i4] [i3] [j24] [j23] [c25] [c24] [c23] [c21] [c20] [j22] [j21] [j20] [j19] [j18] [j17] [i1] [j16] [j15] [j13] [j12] [j11] [c16] [c15] [c14] [b1] [j10] [j9] [j8] [j7] [c13] [c12] [c11] [c10] [j6] [j5] [c9] [c8] [c7] [j4] [c6] [c5] [j3] [j2] [c4] [j1] [c3] [c2] [c1]
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