Kenji Okuma

Artificial Intelligence · 2004

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it; #15,846 of 35,345 by trust here, #10,942 by citations

Whom Kenji Okuma trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Arnaud Doucet
2. Patrick Pérez
3. Jaco Vermaak
4. Paul A. Viola
5. Dorin Comaniciu
6. Carine Hue
7. Michael J. Jones
8. Nando de Freitas
9. John MacCormick
10. Visvanathan Ramesh

Who trusts Kenji Okuma overall

1. Zdenek Kalal
2. Michael D. Breitenstein
3. Saad M. Khan
4. Bastian Leibe
5. Gabriel J. Brostow
6. Willie Neiswanger
7. Markus Enzweiler
8. Deva Ramanan
9. Konrad Schindler
10. Andreas Ess

Papers from Kenji Okuma's perspective

Ordered by how strongly the researchers Kenji Okuma trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Unscented Particle Filter
2. Color-Based Probabilistic Tracking (European Conference on Computer Vision)
3. Sequential Monte Carlo Methods in Practice
4. Sequential Monte Carlo Methods in Practice
5. BraMBLe: a Bayesian multiple-blob tracker (Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001)
6. Real-time tracking of non-rigid objects using mean shift (Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662))
7. Tracking multiple objects with particle filtering
8. A Probabilistic Exclusion Principle for Tracking Multiple Objects (Proceedings of the Seventh IEEE International Conference on Computer Vision)
9. Rapid object detection using a boosted cascade of simple features
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• A Boosted Particle Filter: Multitarget Detection and Tracking (2004) — 1,227 citations