Bruno Emile
Computer Vision and Pattern Recognition · 2010
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 11 citations into it
Whom Bruno Emile trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Bruno Emile's perspective
Ordered by how strongly the researchers Bruno Emile trusts endorse each paper. Same corpus, a different order for every researcher.
- Adaptive background mixture models for real-time tracking
- Non-parametric Model for Background Subtraction (European Conference on Computer Vision)
- Motion-based background subtraction using adaptive kernel density estimation (Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.)
- W4: Real-Time Surveillance of People and Their Activities (IEEE Transactions on Pattern Analysis and Machine Intelligence)
- An Improved Adaptive Background Mixture Model for Real-time Tracking with Shadow Detection
- A survey on visual surveillance of object motion and behaviors
- Detecting Moving Objects, Ghosts, and Shadows in Video Streams
- Learning semantic scene models from observing activity in visual surveillance (IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics))
- Real-time foreground-background segmentation using codebook model (Real-time imaging)
- Robust techniques for background subtraction in urban traffic video (IS&T/SPIE Electronic Imaging)
Their papers
- Comparative study of background subtraction algorithms (2010) — 362 citations