| 2008 |
|---|
| 8 | EE | Simon Maskell:
Statistical Methods for Target Tracking.
Wiley Encyclopedia of Computer Science and Engineering 2008 |
| 7 | EE | Simon Maskell:
A Bayesian approach to fusing uncertain, imprecise and conflicting information.
Information Fusion 9(2): 259-277 (2008) |
| 2007 |
|---|
| 6 | | Harish Bhaskar,
Lyudmila Mihaylova,
Simon Maskell:
Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection.
GI Jahrestagung (2) 2007: 130-134 |
| 5 | EE | V. Kurlin,
Lyudmila Mihaylova,
Simon Maskell:
How Many Randomly Distributed Wireless Sensors Are Enough To Make a 1-Dimensional Network Connected With a Given Probability?
CoRR abs/0710.1001: (2007) |
| 2006 |
|---|
| 4 | EE | Mike Klaas,
Mark Briers,
Nando de Freitas,
Arnaud Doucet,
Simon Maskell,
Dustin Lang:
Fast particle smoothing: if I had a million particles.
ICML 2006: 481-488 |
| 3 | EE | Simon Maskell,
Richard G. Everitt,
Robert Wright,
Mark Briers:
Multi-target out-of-sequence data association: Tracking using graphical models.
Information Fusion 7(4): 434-447 (2006) |
| 2005 |
|---|
| 2 | EE | Jaco Vermaak,
Simon Maskell,
Mark Briers,
Patrick Pérez:
Bayesian visual tracking with existence process.
ICIP (1) 2005: 721-724 |
| 2003 |
|---|
| 1 | EE | Simon Maskell,
Malcolm Rollason,
Neil Gordon,
David Salmond:
Efficient particle filtering for multiple target tracking with application to tracking in structured images.
Image Vision Comput. 21(10): 931-939 (2003) |
