Fida El Baf

Computer Vision and Pattern Recognition · 2008

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Fida El Baf trusts overall

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

  1. Dar-Shyang Lee
  2. Massimo Piccardi
  3. Zoran Zivkovic
  4. Nir Friedman
  5. Dorin Comaniciu
  6. Pakorn KaewTrakulPong
  7. P. W. Power
  8. Jesse Davis
  9. Jacinto Carlos Nascimento
  10. Jaco F. Schutte

Who trusts Fida El Baf overall

  1. Thierry Bouwmans
  2. Andrews Cordolino Sobral
  3. Sebastian Brutzer
  4. Nil Goyette

Papers from Fida El Baf's perspective

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

  1. Image Segmentation in Video Sequences: A Probabilistic Approach
  2. Adaptive background mixture models for real-time tracking
  3. Non-parametric Model for Background Subtraction (European Conference on Computer Vision)
  4. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  5. Learning Patterns of Activity Using Real-Time Tracking (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  6. An Improved Adaptive Background Mixture Model for Real-time Tracking with Shadow Detection
  7. A hierarchical approach to robust background subtraction using color and gradient information (Workshop on Motion and Video Computing, 2002. Proceedings.)
  8. Robust analysis of feature spaces: color image segmentation
  9. Real-time foreground-background segmentation using codebook model (Real-time imaging)
  10. Effective Gaussian mixture learning for video background subtraction (IEEE Transactions on Pattern Analysis and Machine Intelligence)

Their papers