Daniel Clark

Research Publications


2010


Bayesian Multi-Object Filtering With Amplitude Feature Likelihood for Unknown Object SNR,
Daniel Clark, Branko Ristic, Ba-Ngu Vo, and Ba Tuong Vo.
IEEE Transactions on Signal Processing

The Cramer-Rao Lower Bound for 3-D Estimation from Rectified Stereo Cameras.
Daniel Clark and Spela Ivekovic
International Conference on Information Fusion [pdf]

First-Moment Multi-Object Forward-Backward Smoothing
Daniel E. Clark
International Conference on Information Fusion

Extended object filtering using spatial independent cluster processes
A Swain, D Clark
International Conference on Information Fusion

Improved SMC implementation of the PHD filter
B Ristic, D Clark, B N Vo,
International Conference on Information Fusion

Performance evaluation of multi-target tracking using the OSPA metric
B Ristic, B N Vo, D Clark
International Conference on Information Fusion

First-moment filters for spatial independent cluster processes.
A. Swain and D. E. Clark.
SPIE Defense, Security and Sensing Symposium, 2010.

Robust Multi-Object Sensor Fusion with Unknown Correlations
Daniel Clark, Simon Julier, Ronald Mahler, Branko Ristic
UDRC Conference on Sensor Signal Processing for Defence 2010 (SSPD 2010)


2009


Data Association and Track Management for the Gaussian Mixture Probability Hypothesis Density Filter
Kusha Panta, Daniel E. Clark and Ba-Ngu Vo.
IEEE Transactions on Aerospace and Electronic Systems 2009, vol. 45, no3, pp. 1003-1016


PHD filtering in Disparity Space,
Daniel Clark and Spela Ivekovic.
COGIS Paris 2009

Forward-Backward Sequential Monte Carlo Smoothing for Joint Target Detection and Tracking,
D. Clark, B.-T. Vo and B.-N. Vo,
IEEE Proc. 12th Annual Conf. Information Fusion, Seattle, Washington, 2009.

Joint Target Detection and Tracking Smoothers.
Daniel Clark
SPIE Defense and Security Symposium 2009


2008


PHD Filtering with Target Amplitude Feature.
Daniel Clark, Branko Ristic and Ba-Ngu Vo IEEE Proc. International
Conference on Information Fusion, Cologne, July 2008.

Gaussian Mixture Implementations of PHD Filters for Non-linear Dynamical Models.
Daniel Clark, Ba Tuong Vo, Ba-Ngu Vo and Simon Godsill.
The IET Seminar on Target Tracking, 15-16 April 2008. Austin Court, Birmingham


Gaussian Particle Implementations of Probability Hypothesis Density Filters.
D. E. Clark, B-T. Vo and B-N. Vo,
IEEE Aerospace Conference.


2007


Convergence Analysis of the Gaussian Mixture PHD Filter.
D.E. Clark and B. Vo.
IEEE Transactions on Signal Processing, Volume 55, No 4 p 1204-1212.

Multi-target State Estimation and Track Continuity for the Particle PHD Filter. D. E. Clark and J. Bell, IEEE Transactions on Aerospace and Electronic Systems, 2007, vol. 43, no4, pp. 1441-1453

Detection and Tracking of Multiple Metallic Objects in Millimetre-wave Images,
C. Haworth, Y. de Saint-Pern, D. Clark, E. Trucco and Y. Petillot.
International Journal of Computer Vision, vol. 71, no. 2, pp. 183-196, February 2007

Group Tracking with the Gaussian Mixture Probability Hypothesis Density Filter.
D.Clark and S Godsill.
IEEE ISSNIP 2007

Multi-Object Tracking of Sinusoidal Components in Audio with the Gaussian Mixture Probability Hypothesis Density Filter.
D.Clark, A. T. Cemgil, P Peeling and S Godsill.
WASPAA 2007

The GM-PHD Filter Multi-target Tracker.
Daniel Clark, Kusha Panta and Ba-Ngu Vo,
International Conference on Information Fusion 2006, Florence.


2006


Convergence Results for the Particle PHD Filter.
D. E. Clark and J. Bell.
IEEE Transactions on Signal Processing, July 2006, Volume 54, Issue 7, p. 2652-2661.

GM-PHD Filter Multi-target Tracking in Sonar Images.
Daniel Clark, Ba-Ngu Vo and Judith Bell,
SPIE Defense and Security Symposium 2006, Orlando, Florida.6235-29

An Efficient Track Management Scheme For The Gaussian-Mixture Probability Hypothesis Density Tracker.
K. Panta, and B. Vo,
Int. Conf. Intelligent Sensing and Information Processing, Bangalore India,

Multiple Target Tracking and Data Association in Sonar Images.
Daniel E. Clark, Ioseba Tena Ruiz, Yvan Petillot and Judith Bell,
The 2006 IEE Seminar on Target Tracking. p149-154.


2005


Bayesian Multiple Target Tracking in Forward Scan Sonar Images Using the PHD Filter.
D. E. Clark and J. Bell.
IEE Radar, Sonar and Navigation, October 2005. Volume 152, Issue 5 , p. 327-334


Data Association for the PHD Filter.
D.E.Clark and J. Bell,
IEEE ISSNIP 2005. Melbourne Australia, December 2005.