Variational inference for visual tracking

By Jaco Vermaak, Neil D. Lawrence, Patrick Pérez. 2003

94 citations recorded by the source corpus.

Subfields: Artificial Intelligence

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. David M. Blei
2. Alp Kucukelbir
3. Jon D. McAuliffe
4. Ming-Hsuan Yang
5. Stephan Mandt
6. Rajesh Ranganath
7. David A. Ross
8. Jongwoo Lim

Citations in the corpus

• Variational Inference: A Review for Statisticians (2016, background): “…important to probabilistic models of videos (Chan and Vasconcelos 2009; Wang and Mori 2009), image denoising (Likas and Galatsanos 2004), tracking (Vermaak, Lawrence, and Pérez 2003; Yu and Wu 2005), place recognition and mapping for robotics (Cummins and Newman 2008; Ramos et al. 2012), and…”
• Incremental Learning for Robust Visual Tracking (2008, methodology): “…using particle filters (Isard and Blake 1996), joint probabilistic data association filters (Rasmussen and Hager 1998), kernel-based filters (Comaniciu et al. 2003; Georgescu et al. 2004), support vector machines (Avidan 2001; Williams et al. 2003) and variational inference (Vermaak et al. 2003).”