A particle filter for track-before-detect

By D. Salmond, H. Birch. Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001

328 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Media Technology

View Paper: https://www.semanticscholar.org/paper/149207acf6926b51e7b6c72a6b1c666bdc8894f1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. B. Vo
2. Jaco Vermaak
3. Patrick Pérez
4. Nam Trung Pham
5. David Suter
6. Simon J. Godsill
7. Dinh Q. Phung
8. Ba-Ngu Vo

In Computer Networks and Communications

1. B. Vo
2. Nam Trung Pham
3. David Suter
4. Jaco Vermaak
5. Simon J. Godsill
6. Patrick Pérez
7. Hung Gia Hoang
8. Ba-Ngu Vo

In Media Technology

1. Patrick Pérez
2. Xiaogang Wang

Citations in the corpus

• Joint Detection and Estimation of Multiple Objects From Image Observations (2010, background): “NUMERICAL STUDY The idea of track-before-detect (TBD) and its importance in low SNR radar applications was first investigated in [18].”
• Monte Carlo filtering for multi target tracking and data association (2005, background): “Particle filters have also been applied to the problem of multi-target tracking based on raw measurements, e.g. [37]—[39].”