| 2008 |
|---|
| 10 | EE | Richard Kelley,
Alireza Tavakkoli,
Christopher King,
Monica N. Nicolescu,
Mircea Nicolescu,
George Bebis:
Understanding human intentions via hidden markov models in autonomous mobile robots.
HRI 2008: 367-374 |
| 9 | EE | Alireza Tavakkoli,
Mircea Nicolescu,
George Bebis,
Monica N. Nicolescu:
Efficient background modeling through incremental Support Vector Data Description.
ICPR 2008: 1-4 |
| 8 | EE | Fabien Scalzo,
George Bebis,
Mircea Nicolescu,
Leandro Loss,
Alireza Tavakkoli:
Feature Fusion Hierarchies for gender classification.
ICPR 2008: 1-4 |
| 7 | EE | Alireza Tavakkoli,
Richard Kelley,
Christopher King,
Mircea Nicolescu,
Monica N. Nicolescu,
George Bebis:
A Visual Tracking Framework for Intent Recognition in Videos.
ISVC (1) 2008: 450-459 |
| 6 | EE | Alireza Tavakkoli,
Mircea Nicolescu,
George Bebis,
Monica N. Nicolescu:
A Support Vector Data Description Approach for Background Modeling in Videos with Quasi-Stationary Backgrounds.
International Journal on Artificial Intelligence Tools 17(4): 635-658 (2008) |
| 2007 |
|---|
| 5 | EE | Alireza Tavakkoli,
Richard Kelley,
Christopher King,
Mircea Nicolescu,
Monica N. Nicolescu,
George Bebis:
A Vision-Based Architecture for Intent Recognition.
ISVC (2) 2007: 173-182 |
| 4 | EE | Alireza Tavakkoli,
Amol Ambardekar,
Mircea Nicolescu,
Sushil Louis:
A Genetic Approach to Training Support Vector Data Descriptors for Background Modeling in Video Data.
ISVC (2) 2007: 318-327 |
| 2006 |
|---|
| 3 | EE | Alireza Tavakkoli,
Mircea Nicolescu,
George Bebis:
Robust Recursive Learning for Foreground Region Detection in Videos with Quasi-Stationary Backgrounds.
ICPR (1) 2006: 315-318 |
| 2 | EE | Alireza Tavakkoli,
Mircea Nicolescu,
George Bebis:
A Novelty Detection Approach for Foreground Region Detection in Videos with Quasi-stationary Backgrounds.
ISVC (1) 2006: 40-49 |
| 2005 |
|---|
| 1 | EE | Alireza Tavakkoli,
Mircea Nicolescu,
George Bebis:
Automatic Robust Background Modeling Using Multivariate Non-parametric Kernel Density Estimation for Visual Surveillance.
ISVC 2005: 363-370 |
