Monte Carlo filtering for multi target tracking and data association

By Jaco Vermaak, Simon J. Godsill, Patrick Pérez. IEEE Transactions on Aerospace and Electronic Systems, 2005

437 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/d47d4c2ee6cf0b62161e9eb4a8b2de04b8291a8a

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. Jean-Marc Valin
2. Jean Rouat
3. François Michaud
4. Jan Skoglund
5. Frank K. Soong
6. Yossi Adi
7. Jade Copet
8. Lei He

In Computer Networks and Communications

1. Jean-Marc Valin
2. Jean Rouat
3. François Michaud

Citations in the corpus

• Robust localization and tracking of simultaneous moving sound sources using beamforming and particle filtering (2007, methodology): “use of particle ltering for tracking multiple targets is demonstrated in [17,18, 19 ].”
• Message Passing Algorithms for Scalable Multitarget Tracking (2018, neutral): “A sequential Monte Carlo (particle-based) implementation for nonlinear and non-Gaussian models can be found in [82].”