- ROBUST 3-D INTERPRETATION FROM TWO FRAMES WITH MULTIPLE MOTIONS
- Machine Vision and Applications DOI 10.1007/s00138-008-0134-2
- A Visual Tracking Framework for Intent Recognition in Videos
- Gender Classification from Hand Shape Gholamreza Amayeh, George Bebis, Mircea Nicolescu
- A New Approach to Hand-Based Authentication G. Amayeh, G. Bebis, A. Erol, and M. Nicolescu
- A Novelty Detection Approach for Foreground Region Detection in Videos with
- Perceptual Grouping Based on Iterative Multi-scale Tensor Voting
- Accurate and Efficient Computation of High Order Zernike Moments
- Visual Hull Construction Using Adaptive Sampling Ali Erol George Bebis Richard D. Boyle Mircea Nicolescu
- A. Heyden et al. (Eds.): ECCV 2002, LNCS 2352, pp. 423-437, 2002. Springer-Verlag Berlin Heidelberg 2002
- GlobeAll: Panoramic Video for an Intelligent Room Mircea Nicolescu and Grard Medioni
- Segmentation, Tracking and Interpretation Using Panoramic Video Mircea Nicolescu Grard Medioni
- Motion Segmentation with Accurate Boundaries -A Tensor Voting Approach Mircea Nicolescu and Grard Medioni
- A VISION-BASED ARCHITECTURE FOR LONG-TERM HUMAN-ROBOT INTERACTION
- Analysis and Interpretation of Multiple Motions through Surface Saliency
- Layered 4D Representation and Voting for Grouping from Motion
- A VOTING-BASED COMPUTATIONAL FRAMEWORK FOR VISUAL MOTION ANALYSIS AND INTERPRETATION
- Author's personal copy An iterative multi-scale tensor voting scheme for perceptual grouping
- Motion Segmentation with Accurate Boundaries -A Tensor Voting Approach Mircea Nicolescu and Grard Medioni
- 4-D Voting for Matching, Densification and Segmentation into Motion Layers Mircea Nicolescu and Grard Medioni
- Machine Vision and Applications DOI 10.1007/s00138-007-0118-7
- International Journal on Artificial Intelligence Tools Vol. 17, No. 4 (2008) 635658
- Investigating How and When Perceptual Organization Cues Improve Boundary Detection in Natural Images
- Author's personal copy Hand-based verification and identification using palmfinger
- A Component-Based Approach to Hand Verification Gholamreza Amayeh and George Bebis and Ali Erol and Mircea Nicolescu
- A Voting-Based Computational Framework for Visual Motion Analysis and Interpretation
- Efficient Background Modeling through Incremental Support Vector Data Description
- Electronic Pan-Tilt-Zoom: A Solution for Intelligent Room Systems Mircea Nicolescu and Grard Medioni
- JOURNAL OF PHYSICAL AGENTS, VOL. 3 NO. 2 MAY 2009 59 A Flexible Control Architecture for Extended
- Automatic Statistical Object Detection for Visual Surveillance Alireza Tavakkoli, Mircea Nicolescu, and George Bebis
- Robust Recursive Learning for Foreground Region Detection in Videos with Quasi-Stationary Backgrounds
- A Genetic Approach to Training Support Vector Data Descriptors for Background Modeling in
- Voting-Based Grouping and Interpretation of Visual Motion Mircea Nicolescu
- A Review on Vision-Based Full DOF Hand Motion Estimation Ali Erol(1)
- INCREMENTAL SVDD TRAINING: IMPROVING EFFICIENCY OF BACKGROUND MODELING IN VIDEOS
- A Control Architecture for Long-Term Autonomy of Robotic Assistants
- Evolutionary Learning of Feature Fusion Hierarchies Fabien Scalzo fscalzo@mednet.ucla.edu
