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2020 – today
- 2024
[j70]Linh Van Ma
, Tran Thien Dat Nguyen, Ba-Ngu Vo, Hyunsung Jang, Moongu Jeon:
Track initialization and re-identification for 3D multi-view multi-object tracking. Inf. Fusion 111: 102496 (2024)- [j69]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) - [i18]Linh Van Ma, Tran Thien Dat Nguyen, Ba-Ngu Vo, Hyunsung Jang, Moongu Jeon:
Track Initialization and Re-Identification for~3D Multi-View Multi-Object Tracking. CoRR abs/2405.18606 (2024) - 2023
- [j68]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) - [j67]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
- [j66]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) - [j65]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) - [j64]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) - [c82]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 - [i17]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) - [i16]Diluka Moratuwage, Ba-Ngu Vo, Ba-Tuong Vo, Changbeom Shim:
Multi-Scan Multi-Sensor Multi-Object State Estimation. CoRR abs/2205.15516 (2022) - 2021
- [j63]Hoa Van Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Damith C. Ranasinghe:
Distributed Multi-Object Tracking Under Limited Field of View Sensors. IEEE Trans. Signal Process. 69: 5329-5344 (2021) - [j62]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
- [j61]Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo:
A Solution for Large-Scale Multi-Object Tracking. IEEE Trans. Signal Process. 68: 2754-2769 (2020) - [c81]Hoa Van Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Damith Chinthana Ranasinghe:
Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Objects. AAAI 2020: 7227-7235 - [i15]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) - [i14]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) - [i13]Hoa Van Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Damith C. Ranasinghe:
Distributed Multi-object Tracking under Limited Field of View Sensors. CoRR abs/2012.12990 (2020)
2010 – 2019
- 2019
- [j60]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) - [j59]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) - [j58]Hoa Van Nguyen, Seyed Hamid Rezatofighi, Ba-Ngu Vo, Damith Chinthana Ranasinghe:
Online UAV Path Planning for Joint Detection and Tracking of Multiple Radio-Tagged Objects. IEEE Trans. Signal Process. 67(20): 5365-5379 (2019) - [j57]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) - [i12]Hoa Van Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Damith Chinthana Ranasinghe:
Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Object. CoRR abs/1911.09807 (2019) - 2018
- [j56]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) - [j55]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) - [j54]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) - [j53]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) - [c80]Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo:
Performance Evaluation for Large-Scale Multi-Target Tracking Algorithms. FUSION 2018: 1-5 - [c79]Ba-Tuong Vo, Ba-Ngu Vo:
Multi-Scan Generalized Labeled Multi-Bernoulli Filter. FUSION 2018: 195-202 - [i11]Hoa Van Nguyen, Seyed Hamid Rezatofighi, Ba-Ngu Vo, Damith Chinthana Ranasinghe:
Online UAV Path Planning for Joint Detection and Tracking of Multiple Radio-tagged Objects. CoRR abs/1808.04445 (2018) - 2017
- [j52]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) - [j51]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) - [c78]Nhan Dam, Dinh Q. Phung, Ba-Ngu Vo, Viet Huynh:
Forward-Backward Smoothing for Hidden Markov Models of Point Pattern Data. DSAA 2017: 252-261 - [c77]Ba-Ngu Vo, Ba-Tuong Vo:
An implementation of the multi-sensor generalized labeled multi-Bernoulli filter via Gibbs sampling. FUSION 2017: 1-8 - [c76]Du Yong Kim, Ba-Ngu Vo, Aurelne Thian, Yu Suk Choi:
A generalized labeled multi-Bernoulli tracker for time lapse cell migration. ICCAIS 2017: 20-25 - [c75]Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo:
OSPA(2): Using the OSPA metric to evaluate multi-target tracking performance. ICCAIS 2017: 86-91 - [c74]Daniel S. Bryant, Ba-Tuong Vo, Ba-Ngu Vo, Brandon A. Jones:
A labeled random finite set spawning model. ICCAIS 2017: 215-220 - [i10]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) - [i9]Quang N. Tran, Ba-Ngu Vo, Dinh Q. Phung, Ba-Tuong Vo:
Clustering For Point Pattern Data. CoRR abs/1702.02262 (2017) - [i8]Ba-Ngu Vo, Dinh Q. Phung, Quang N. Tran, Ba-Tuong Vo:
Model-Based Multiple Instance Learning. CoRR abs/1703.02155 (2017) - [i7]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
- [j50]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) - [c73]Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo:
Generalised labelled multi-Bernoulli forward-backward smoothing. FUSION 2016: 688-694 - [c72]Yuthika Punchihewa, Ba-Ngu Vo, Ba-Tuong Vo:
A Generalized Labeled Multi-Bernoulli filter for maneuvering targets. FUSION 2016: 980-986 - [c71]Du Yong Kim, Ba-Ngu Vo, Ba-Tuong Vo:
Multi-object particle filter revisited. ICCAIS 2016: 42-47 - [c70]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 - [c69]Nhat-Quang Tran, Ba-Ngu Vo, Dinh Q. Phung, Ba-Tuong Vo:
Clustering for point pattern data. ICPR 2016: 3174-3179 - [i6]Yuthika Punchihewa, Ba-Ngu Vo, Ba-Tuong Vo:
A Generalized Labeled Multi-Bernoulli Filter for Maneuvering Targets. CoRR abs/1603.04565 (2016) - [i5]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
- [j49]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) - [j48]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) - [j47]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) - [j46]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) - [j45]Ángel F. García-Fernández, Ba-Ngu Vo:
Derivation of the PHD and CPHD Filters Based on Direct Kullback-Leibler Divergence Minimization. IEEE Trans. Signal Process. 63(21): 5812-5820 (2015) - [c68]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 - [c67]Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo, Sanjeev Arulampalam:
Sensor control for multi-target tracking using Cauchy-Schwarz divergence. FUSION 2015: 937-944 - [c66]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 - [c65]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 - [c64]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 - [c63]Giorgio Battistelli, Luigi Chisci, Claudio Fantacci, Alfonso Farina, Ba-Ngu Vo:
Average Kullback-Leibler divergence for random finite sets. FUSION 2015: 1359-1366 - [c62]Ángel F. García-Fernández, Ba-Ngu Vo:
Derivation of the PHD filter based on direct Kullback-Leibler divergence minimisation. ICCAIS 2015: 209-213 - [i4]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) - [i3]Hung Gia Hoang, Ba-Tuong Vo, Ba-Ngu Vo:
A Generalized Labeled Multi-Bernoulli Filter Implementation using Gibbs Sampling. CoRR abs/1506.00821 (2015) - [i2]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
- [j44]Martin Adams, Ba-Ngu Vo, Ronald P. S. Mahler:
Advances in Probabilistic Modeling: Applications of Stochastic Geometry [From the Guest Editors]. IEEE Robotics Autom. Mag. 21(2): 21-24 (2014) - [j43]Martin Adams, Ba-Ngu Vo, Ronald P. S. Mahler, John Mullane:
SLAM Gets a PHD: New Concepts in Map Estimation. IEEE Robotics Autom. Mag. 21(2): 26-37 (2014) - [j42]Stephan Reuter, Ba-Tuong Vo, Ba-Ngu Vo, Klaus Dietmayer:
The Labeled Multi-Bernoulli Filter. IEEE Trans. Signal Process. 62(12): 3246-3260 (2014) - [j41]Anh-Tuyet Vu, Ba-Ngu Vo, Robin J. Evans:
A Particle Marginal Metropolis-Hastings Multi-Target Tracker. IEEE Trans. Signal Process. 62(15): 3953-3964 (2014) - [j40]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) - [c61]Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo:
Multi-target tracking with merged measurements using labelled random finite sets. FUSION 2014: 1-8 - [c60]Ángel F. García-Fernández, Ba-Ngu Vo, Ba-Tuong Vo:
MCMC-based posterior independence approximation for RFS multitarget particle filters. FUSION 2014: 1-8 - [c59]Dinh Q. Phung, Ba-Ngu Vo:
A random finite set model for data clustering. FUSION 2014: 1-8 - [c58]Stephan Reuter, Ba-Tuong Vo, Ba-Ngu Vo, Klaus Dietmayer:
Multi-object tracking using labeled multi-Bernoulli random finite sets. FUSION 2014: 1-8 - [c57]Ba-Ngu Vo, Ba-Tuong Vo:
A stochastic geometric approach to sensor array processing. SSP 2014: 236-239 - [c56]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
- [j39]Martin Adams, John Mullane, Ba-Ngu Vo:
Circumventing the Feature Association Problem in SLAM. IEEE Intell. Transp. Syst. Mag. 5(3): 40-58 (2013) - [j38]Mahendra Mallick, Ba-Ngu Vo, Thia Kirubarajan, Sanjeev Arulampalam:
Introduction to the issue on multitarget tracking. IEEE J. Sel. Top. Signal Process. 7(3): 373-375 (2013) - [j37]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) - [j36]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) - [j35]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) - [j34]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) - [j33]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) - [j32]Ba-Tuong Vo, Ba-Ngu Vo:
Labeled Random Finite Sets and Multi-Object Conjugate Priors. IEEE Trans. Signal Process. 61(13): 3460-3475 (2013) - [c55]Mahendra Mallick, Steve Rubin, Ba-Ngu Vo:
An introduction to force and measurement modeling for space object tracking. FUSION 2013: 1013-1020 - [c54]John A. Kennewell, Ba-Ngu Vo:
An overview of space situational awareness. FUSION 2013: 1029-1036 - [c53]Diluka Moratuwage, Ba-Ngu Vo, Danwei Wang:
Collaborative Multi-vehicle SLAM with moving object tracking. ICRA 2013: 5702-5708 - [c52]Ba-Ngu Vo:
Keynote speaker II: Multi-object systems and their applications. ICSIPA 2013: 10 - [c51]Seyed Hamid Rezatofighi, Stephen Gould, Ba-Ngu Vo, Katarina Mele, William E. Hughes, Richard I. Hartley:
A Multiple Model Probability Hypothesis Density Tracker for Time-Lapse Cell Microscopy Sequences. IPMI 2013: 110-122 - [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
- [j31]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) - [j30]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) - [j29]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) - [j28]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) - [j27]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) - [c50]Ba-Tuong Vo, Ba-Ngu Vo:
The para-normal Bayes multi-target filter and the spooky effect. FUSION 2012: 173-180 - [c49]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 - [c48]Shanhung Wong, Ba-Tuong Vo, Ba-Ngu Vo, Reza Hoseinnezhad:
Multi-Bernoulli based track-before-detect with road constraints. FUSION 2012: 840-846 - [c47]Diluka Moratuwage, Ba-Ngu Vo, Danwei Wang:
A hierarchical approach to the Multi-Vehicle SLAM problem. FUSION 2012: 1119-1125 - [c46]Diluka Moratuwage, Ba-Ngu Vo, Danwei Wang, Han Wang:
Extending Bayesian RFS SLAM to multi-vehicle SLAM. ICARCV 2012: 638-643 - 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] - [j26]Branko Ristic, Ba-Ngu Vo, Daniel E. Clark:
A Note on the Reward Function for PHD Filters with Sensor Control. IEEE Trans. Aerosp. Electron. Syst. 47(2): 1521-1529 (2011) - [j25]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) - [j24]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) - [j23]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) - [j22]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) - [c45]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 - [c44]Ronald P. S. Mahler, Ba-Tuong Vo, Ba-Ngu Vo:
CPHD filtering with unknown clutter rate and detection profile. FUSION 2011: 1-8 - [c43]Anh-Tuyet Vu, Ba-Ngu Vo, Robin J. Evans:
Particle Markov Chain Monte Carlo for Bayesian multi-target tracking. FUSION 2011: 1-8 - [c42]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 - [c41]Reza Hoseinnezhad, Ba-Ngu Vo, Truong Nguyen Vu:
Visual Tracking of Multiple Targets by Multi-Bernoulli Filtering of Background Subtracted Image Data. ICSI (2) 2011: 509-518 - [c40]John Mullane, Ba-Ngu Vo, Martin Adams, Ba-Tuong Vo:
Mobile Robotics in a Random Finite Set Framework. ICSI (2) 2011: 519-528 - 2010
- [j21]Branko Ristic, Ba-Ngu Vo:
Sensor control for multi-object state-space estimation using random finite sets. Autom. 46(11): 1812-1818 (2010) - [j20]Mohammad Rezaeian, Ba-Ngu Vo, Jamie S. Evans:
The Optimal Observability of Partially Observable Markov Decision Processes: Discrete State Space. IEEE Trans. Autom. Control. 55(12): 2793-2798 (2010) - [j19]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) - [j18]Syed Ahmed Pasha, Hoang Duong Tuan, Ba-Ngu Vo:
Nonlinear Bayesian filtering using the unscented linear fractional transformation model. IEEE Trans. Signal Process. 58(2): 477-489 (2010) - [j17]Mohammad Rezaeian, Ba-Ngu Vo:
Error bounds for joint detection and estimation of a single object with random finite set observation. IEEE Trans. Signal Process. 58(3): 1493-1506 (2010) - [j16]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) - [c39]Ronald P. S. Mahler, Ba-Ngu Vo, Ba-Tuong Vo:
The forward-backward Probability Hypothesis Density smoother. FUSION 2010: 1-8 - [c38]Branko Ristic, Daniel E. Clark, Ba-Ngu Vo:
Improved SMC implementation of the PHD filter. FUSION 2010: 1-8 - [c37]Branko Ristic, Ba-Ngu Vo, Daniel E. Clark:
Performance evaluation of multi-target tracking using the OSPA metric. FUSION 2010: 1-7 - [c36]Ba-Ngu Vo, Ba-Tuong Vo, Ronald P. S. Mahler:
A closed form solution to the Probability Hypothesis Density Smoother. FUSION 2010: 1-8 - [c35]Reza Hoseinnezhad, Ba-Ngu Vo, David Suter, Ba-Tuong Vo:
Multi-object filtering from image sequence without detection. ICASSP 2010: 1154-1157 - [c34]John Mullane, Ba-Ngu Vo, Martin David Adams:
Rao-Blackwellised PHD SLAM. ICRA 2010: 5410-5416
2000 – 2009
- 2009
- [j15]Sumeetpal S. Singh, Ba-Ngu Vo, Adrian J. Baddeley, Sergei A. Zuyev:
Filters for Spatial Point Processes. SIAM J. Control. Optim. 48(4): 2275-2295 (2009) - [j14]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) - [c33]Ba-Ngu Vo, Ba-Tuong Vo, Nam-Trung Pham, David Suter:
Bayesian multi-object estimation from image observations. FUSION 2009: 890-898 - [c32]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
- [j13]Ba-Tuong Vo, Ba-Ngu Vo, Antonio Cantoni:
Bayesian Filtering With Random Finite Set Observations. IEEE Trans. Signal Process. 56(4): 1313-1326 (2008) - [j12]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) - [c31]Daniel E. Clark, Branko Ristic, Ba-Ngu Vo:
PHD Filtering with target amplitude feature. FUSION 2008: 1-7 - [c30]Dominic Schuhmacher, Ba-Tuong Vo, Ba-Ngu Vo:
On performance evaluation of multi-object filters. FUSION 2008: 1-8 - [c29]John Mullane, Ba-Ngu Vo, Martin David Adams, Wijerupage Sardha Wijesoma:
A random set formulation for Bayesian SLAM. IROS 2008: 1043-1049 - 2007
- [j11]Sumeetpal S. Singh, Nikolaos Kantas, Ba-Ngu Vo, Arnaud Doucet, Robin J. Evans:
Simulation-based optimal sensor scheduling with application to observer trajectory planning. Autom. 43(5): 817-830 (2007) - [j10]Daniel E. Clark, Ba-Ngu Vo:
Convergence Analysis of the Gaussian Mixture PHD Filter. IEEE Trans. Signal Process. 55(4): 1204-1212 (2007) - [j9]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) - [j8]Hoang Duong Tuan, Tran Thai Son, Ba-Ngu Vo, Truong Q. Nguyen:
Efficient Large-Scale Filter/Filterbank Design via LMI Characterization of Trigonometric Curves. IEEE Trans. Signal Process. 55(9): 4393-4404 (2007) - [j7]Ha Hoang Kha, Hoang Duong Tuan, Ba-Ngu Vo, Truong Q. Nguyen:
Symmetric Orthogonal Complex-Valued Filter Bank Design by Semidefinite Programming. IEEE Trans. Signal Process. 55(9): 4405-4414 (2007) - [c28]Ba-Tuong Vo, Ba-Ngu Vo, Antonio Cantoni:
A Bayesian Approach to Target Tracking with Finite-Set-Valued Observations. ISIC 2007: 458-463 - [c27]Hoang Duong Tuan, Duong-Hung Pham, Ba-Ngu Vo, Truong Q. Nguyen:
Entropy of General Gaussian Distributions and MIMO Channel Capacity Maximizing Precoder and Decoder. ICASSP (3) 2007: 325-328 - 2006
- [j6]Wing-Kin Ma, Ba-Ngu Vo, Timothy N. Davidson, Pak-Chung Ching:
Blind ML detection of orthogonal space-time block codes: efficient high-performance implementations. IEEE Trans. Signal Process. 54(2): 738-751 (2006) - [j5]Wing-Kin Ma, Ba-Ngu Vo, Sumeetpal S. Singh, Adrian J. Baddeley:
Tracking an unknown time-varying number of speakers using TDOA measurements: a random finite set approach. IEEE Trans. Signal Process. 54(9): 3291-3304 (2006) - [j4]Ba-Ngu Vo, Wing-Kin Ma:
The Gaussian Mixture Probability Hypothesis Density Filter. IEEE Trans. Signal Process. 54(11): 4091-4104 (2006) - [c26]Hoang Duong Tuan, Nguyen Thien Hoang, Hung Q. Ngo, Hoang Tuy, Ba-Ngu Vo:
A dual frequency-selective bounded real lemma and its applications to IIR filter design. CDC 2006: 1478-1485 - [c25]Ba-Ngu Vo, Ahmed Pasha, Hoang Duong Tuan:
A Gaussian Mixture PHD Filter for Nonlinear Jump Markov Models. CDC 2006: 3162-3167 - [c24]Ba-Tuong Vo, Ba-Ngu Vo, Antonio Cantoni:
The Cardinalized Probability Hypothesis Density Filter for Linear Gaussian Multi-Target Models. CISS 2006: 681-686 - [c23]Daniel E. Clark, Kusha Panta, Ba-Ngu Vo:
The GM-PHD Filter Multiple Target Tracker. FUSION 2006: 1-8 - [c22]Ahmed Pasha, Ba-Ngu Vo, Hoang Duong Tuan, Wing-Kin Ma:
Closed Form PHD Filtering for Linear Jump Markov Models. FUSION 2006: 1-8 - [c21]Ba-Tuong Vo, Ba-Ngu Vo, Antonio Cantoni:
Performance of PHD Based Multi-Target Filters. FUSION 2006: 1-8 - [c20]Ha Hoang Kha, Hoang Duong Tuan, Ba-Ngu Vo, Truong Q. Nguyen:
Symmetric Orthogonal Complex-Valued Filter Bank Design by Semidefinite Programming. ICASSP (3) 2006: 221-224 - [c19]T. Q. Hung, Hoang Duong Tuan, Ba-Ngu Vo, Truong Q. Nguyen:
SDP for 2-d Filter Design: General Formulation and Dimension Reduction Techniques. ICASSP (2) 2006: 621-624 - [c18]Duong-Hung Pham, Hoang Duong Tuan, Ba-Ngu Vo, Truong Q. Nguyen:
Jointly Optimal Precoding/Postcoding for Colored MIMO Systems. ICASSP (4) 2006: 745-748 - 2005
- [c17]Sumeetpal S. Singh, Nikolaos Kantas, Arnaud Doucet, Ba-Ngu Vo, Robin J. Evans:
Simulation-Based Optimal Sensor Scheduling with Application to Observer Trajectory Planning. CDC/ECC 2005: 7296-7301 - [c16]Hoang Duong Tuan, Tran Thai Son, Ba-Ngu Vo, Truong Q. Nguyen:
LMI characterization for the convex hull of trigonometric curves and applications. ICASSP (4) 2005: 425-428 - [c15]Wing-Kin Ma, Ba-Ngu Vo, Timothy N. Davidson, Pak-Chung Ching:
On implementing the blind ML receiver for orthogonal space-time block codes. ICASSP (3) 2005: 437-440 - [c14]Ba-Ngu Vo, Wing-Kin Ma, Sumeetpal S. Singh:
Localizing an unknown time-varying number of speakers: a Bayesian random finite set approach. ICASSP (4) 2005: 1073-1076 - [c13]Hung Gia Hoang, Ba-Ngu Vo, Hoang Duong Tuan, Tran Thai Son:
Mask constrained beam pattern synthesis for large arrays. ISSPA 2005: 387-390 - 2004
- [j3]Wing-Kin Ma, Pak-Chung Ching, Ba-Ngu Vo:
Crosstalk resilient interference cancellation in microphone arrays using Capon beamforming. IEEE Trans. Speech Audio Process. 12(5): 468-477 (2004) - [c12]Ba-Ngu Vo, Wing-Kin Ma:
Joint detection and tracking of multiple maneuvering targets in clutter using random finite sets. ICARCV 2004: 1485-1490 - [c11]Ba-Ngu Vo, Sumeetpal S. Singh, Wing-Kin Ma:
Tracking multiple speakers using random sets. ICASSP (2) 2004: 357-360 - [c10]Wing-Kin Ma, P. C. Ching, Timothy N. Davidson, Ba-Ngu Vo:
Blind symbol identifiability of orthogonal space-time block codes. ICASSP (4) 2004: 821-824 - [c9]Ba-Ngu Vo, Alex S. Leong, Pok Iu:
Analog envelop constrained filter with input uncertainty. ISCAS (1) 2004: 1008-1011 - 2003
- [c8]Sumeetpal S. Singh, Ba-Ngu Vo, Arnaud Doucet, Robin J. Evans:
Stochastic approximation for optimal observer trajectory planning. CDC 2003: 6313-6318 - [c7]Ba-Ngu Vo, Sumeetpal S. Singh, Vladislav Z. B. Tadic:
Adaptive envelope-constrained filtering. ICASSP (6) 2003: 345-348 - 2000
- [c6]Ba-Ngu Vo, Antonio Cantoni:
Robust design of Transmit Pulse Shape. EUSIPCO 2000: 1-4
1990 – 1999
- 1998
- [c5]Ba-Ngu Vo, Antonio Cantoni:
Continuous-time envelope constrained filter design with input uncertainty. ICASSP 1998: 1289-1292 - 1997
- [j2]Ba-Ngu Vo, Antonio Cantoni, Kok Lay Teo:
Envelope constrained filter with linear interpolator. IEEE Trans. Signal Process. 45(6): 1405-1414 (1997) - [j1]Ba-Ngu Vo, Antonio Cantoni, Kok Lay Teo:
A penalty approach to iterative algorithms for envelope constrained filter design. IEEE Trans. Signal Process. 45(7): 1869-1873 (1997) - [c4]Ba-Ngu Vo, Thi-Ngoc Ho, Antonio Cantoni, Victor Sreeram:
FIR filters in continuous-time envelope constrained filter design. ICASSP 1997: 1905-1908 - 1996
- [c3]Zhuquan Zang, Ba-Ngu Vo, Antonio Cantoni, Kok Lay Teo:
Applications of discrete-time Laguerre networks to envelope constrained filter design. ICASSP 1996: 1363-1366 - 1995
- [c2]Ba-Ngu Vo, Antonio Cantoni, Kok Lay Teo:
Iterative algorithms for envelope constrained filter design. ICASSP 1995: 1288-1291 - [c1]Wei Xing Zheng, Ba-Ngu Vo, Antonio Cantoni, Kok Lay Teo:
Improved Recursive Procedures for Envelope-Constrained Filtering. ISCAS 1995: 1376-1379
Coauthor Index
Ronald Paxton-Sheets Mahler
aka: Ronald P. S. Mahler
aka: Ronald P. S. Mahler
Damith Chinthana Ranasinghe
aka: Damith C. Ranasinghe
aka: Damith C. Ranasinghe
Seyed Hamid Rezatofighi
aka: Hamid Rezatofighi
aka: Hamid Rezatofighi
[j69] [j68] [j67] [j66] [j65] [j64] [c82] [i17] [i16] [j62] [j61] [i15] [i14] [j60] [j59] [j57] [j56] [j55] [j54] [j53] [c80] [c79] [j52] [j51] [c77] [c75] [c74] [i10] [i9] [i8] [i7] [j50] [c73] [c72] [c71] [c70] [c69] [i6] [i5] [j49] [j48] [j47] [j46] [c68] [c67] [c66] [c65] [c64] [i4] [i3] [i2] [j42] [j40] [c61] [c60] [c58] [c57] [c56] [j37] [j36] [j35] [j34] [j33] [j32] [i1] [j31] [j30] [j29] [j28] [j27] [c50] [c49] [c48] [b1] [j25] [j24] [j23] [j22] [c45] [c44] [c42] [c40] [j19] [j16] [c39] [c36] [c35] [j14] [c33] [c32] [j13] [j12] [c30] [j9] [c28] [c24] [c21]
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