CVL Publications

Selected Recent Publications
by members of the Computer Vision Group

Index of Papers and Publications by topic:

Perceptual Grouping
Vehicle Detection
Object Recognition
Face Detection/Recognition
Medical Applications
Neural Networks
Fingerprint Recognition
Hand Based Verification
Eye-Gaze Estimation
Gender Classification
Human Activity Recognition
Classification
Visual Motion Analysis
Multimedia
Applications
Morphing
Image Retrieval
Surveillance
Visual Hull
Human-Computer Interaction
Biological Vision
Computer Vision Education
Robotics

Perceptual Grouping to top

L. Loss, G. Bebis, M. Nicolescu, and A. Skurikhin, "An Iterative Multi-Scale Tensor Voting Scheme for Perceptual Grouping of Natural Shapes in Cluttered Backgrounds", Computer Vision and Image Understanding (CVIU) (accepted), 2008.

L. Loss, G. Bebis, M. Nicolescu, and A. Skurikhin, "Investigating How and When Perceptual Organization Cues Improve Boundary Detection in Natural Images ", IEEE Workshop on Perceptual Organization in Computer Vision (in conjunction with CVPR08), 2008.

F. Scalzo, G. Bebis, M. Nicolescu, and L. Loss, "Multimodal Feature Fusion Hierarchies ", Benelearn, Spa, Belgium, May 2008.

L. Loss, G. Bebis, M. Nicolescu, and A. Skurikhin, "An Automatic Framework for Figure-Ground Segmentation in Cluttered Backgrounds", British Machine Vision Conference (BMVC 2007), University of Warwick, UK, September 10-13, 2007.

L. Loss, G. Bebis, M. Nicolescu, and A. Skourikhine, "Perceptual Grouping Based on Iterative Multi-Scale Tensor Voting", 2nd International Symposium on Visual Computing (ISVC06), Lake Tahoe, November 6-8, 2006.

Vehicle Detection to top

Z. Sun, G. Bebis, and R. Miller, "On-road Vehicle Detection: A review", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 5, pp. 694-711, 2006.

Z. Sun, G. Bebis, and R. Miller, "Monocular Pre-crash Vehicle Detection: Features and Classifiers", IEEE Transactions on Image Processing , vol. 15, no. 7, pp. 2019-2034, July 2006.

Z. Sun, G. Bebis, and R. Miller, "On-Road Vehicle Detection Using Evolutionary Gabor Filter Optimization ", IEEE Transactions on Intelligent Transportation Systems, vol. 6, no. 2, pp. 125-137, 2005.

J. Wang, G. Bebis, and R. Miller, "Overtaking Vehicle Detection Using Dynamic and Quasi-Static Background Modeling", IEEE Workshop on Machine Vision for Intelligent Vehicles, San Diego, CA, June 21, 2005.

K. She, G. Bebis, H. Gu, and R. Miller, "Vehicle Tracking Using On-Line Fusion of Color and Shape Features", IEEE International Conference on Intelligent Transportation Systems, Washington, DC, October 3-6, 2004.

Z. Sun, G. Bebis, and R. Miller, "On-road Vehicle Detection Using Optical Sensors: A Review", IEEE International Conference on Intelligent Transportation Systems, Washington, DC, October 3-6, 2004.

Z. Sun, G. Bebis, and R. Miller, "On-Road Vehicle Detection Using Evolutionary Gabor Filter Optimization ", IEEE Transactions on Intelligent Transportation Systems, 2004

Z. Sun, G. Bebis, and R. Miller, "Object Detection Using Feature Subset Selection", Pattern Recognition, vol. 37, pp. 2165-2176, 2004.

Z. Sun, G. Bebis, and R. Miller, "Evolutionary Gabor Filter Optimization with Application to Vehicle Detection", IEEE International Conference on Data Mining, pp. 307-314, Melbourne FL, November 2003.

Z. Sun, G. Bebis, and R. Miller, "Boosting Object Detection Using Feature Selection", IEEE International Conference on Advanced Video and Signal Based Surveillance, pp. 290-296, Miami, July 2003.

Z. Sun, R. Miller, G. Bebis, and D. DiMeo, "A Real-time Precrash Vehicle Detection System", IEEE Workshop on Applications of Computer Vision, Orlando, December 2002.

Z. Sun, G. Bebis, and R. Miller, "Quantized Wavelet Features and Support Vector Machines for On-Road Vehicle Detection", IEEE International Conference on Control, Automation, Robotics and Vision, Singapore, December 2002.

Z. Sun, G. Bebis, and R. Miller, "Improving the Performance of On-Road Vehicle Detection by Combining Gabor and Wavelet Features ", IEEE International Conference on Intelligent Transportation Systems, Singapore, September 2002.

Z. Sun, G. Bebis, and R. Miller, "On-road vehicle detection using Gabor filters and Support Vector Machines", IEEE International Conference on Digital Signal Processing, July 2002, Greece.

Object Recognition to top

W. Li, G. Bebis, and N. Bourbakis, "3D Object Recognition Using 2D Views", IEEE Transactions on Image Processing (accepted), 2008.

G. Amayeh, S. Kasaei, G. Bebis, A. Tavakkoli, and K. Veropoulos, "Improvement of Zernike Moment Descriptors on Affine Transformed Shapes", International Symposium on Signal Processing and its Applications (ISSPA07), United Arab Emirates, February 12-15, 2007 (accepted).

G. Amayeh, A. Erol, G. Bebis, and M. Nicolescu, "Accurate and Efficient Computation of High Order Zernike Moments", International Symposium on Visual Computing, (LNCS, vol 3804), Lake Tahoe, NV, December 2005.

W. Li, G. Bebis, and N. Bourbakis, "Integrating Algebraic Functions of Views with Indexing and Learning for 3D Object Recognition", IEEE Workshop on Learning in Computer Vision and Pattern Recognition, Washington DC, June 28, 2004.

G. Bebis. S. Louis, Y. Varol, and A. Yfantis, "Genetic Object Recognition Using Combinations of Views", IEEE Transactions on Evolutionary Computation vol 6, no. 2, pp. 132-146, April 2002.

G. Bebis, G. Papadourakis and S. Orphanoudakis, " Curvature Scale Space Driven Object Recognition with an Indexing Scheme based on Artificial Neural Networks ", Pattern Recognition., Vol. 32, No. 7, pp. 1175-1201, 1999.

G. Bebis, M. Georgiopoulos, N. da Vitoria Lobo, and M. Shah, "Recognition by learning affine transformations", Pattern Recognition, Vol. 32, No. 10, pp. 1783-1799, 1999 .

G. Bebis, M. Georgiopoulos, M. Shah, and N. da Vitoria Lobo, " Indexing based on algebraic functions of views", Computer Vision and Image Understanding (CVIU), Vol. 72, No. 3, pp. 360-378, 1998.

G. Bebis, M. Georgiopoulos and N. La Vitoria Lobo, "Using Self-Organizing Maps to Learn Geometric Hashing Functions for Model-Based Object Recognition" IEEE Transactions on Neural Networks Vol 9, No. 3, pp. 560-570, 1998.

G. Bebis, S. Louis, and S. Fadali, "Using Genetic Algorithms for 3D Object Recognition", 11th International Conference on Computer Applications in Industry and Engineering( CAINE'98), pp. 13-16, Las Vegas, NV, November 1998.

G. Bebis, G. Papadourakis, and S. Orphanoudakis, "Recognition using Curvature Scale Space and Artificial Neural Networks", Signal and Image Processing (SIP'98), Las Vegas, NV, October 28-31, 1998.

G. Bebis, S. Louis, and Y. Varol, "Using Genetic Algorithms for Model-Based Object Recognition", 1998 International Conference on Imaging Science, Systems, and Technology (CISST'98), Las Vegas, NV, July 1998, pp. 1-6.

S. Louis, G. Bebis. S. Uthiram, and Y. Varol, "Genetic Search for Object Recognition", Lecture Notes in Computer Science 1447, V. Porto et. al (Eds.) (Seventh Annual Conference on Evolutionary Programming, San Diego, March 1998), pp. 199-208.

G. Bebis, M. Georgiopoulos, M. Shah, and N. da Vitoria Lobo, "Using Algebraic Functions of Views for Indexing-Based Object Recognition",6th International Conference on Computer Vision (ICCV-98), pp. 634-639, India, January 1998.

G. Bebis, M. Georgiopoulos, and S. Bhatia " Learning Orthorgraphic Transformations for Object Recognition", IEEE International Conference on Systems, Man, and Cybernetics, Vol 4, pp. 3576-3581, Orlando, FL, October 1997.

G. Bebis, M. Georgiopoulos, N. da Vitoria Lobo and M. Shah, " Learning Affine Transformations of the Plane for Model-based Object Recognition ", 13th International Conference on Pattern Recognition (ICPR-96), vol. IV, pp. 60-64, Vienna, Austria, August 1996.

G. Bebis, M. Georgiopoulos and N. La Vitoria Lobo, "Learning Geometric Hashing Functions for Model Based Object Recognition", Fifth International Conference on Computer Vision (ICCV-95), pp. 543-548, M.I.T., Cambridge, Massachusetts, June 1995.

G. Bebis and G. Papadourakis, "Object Recognition Using Invariant Object Boundary Contour Representations and Neural Network Models ", Pattern Recognition, Vol. 25, No. 1, pp. 25-44, January 1992.

G. Bebis and G. Papadourakis, "Model Based Object Recognition Using Artificial Neural Networks", Artificial Neural Networks, ICANN-91, Vol. 2, Kohonen et. al. (eds.), pp. 1111-1115, North-Holland, 1991.

Face Detection/Recognition to top

G. Bebis, A. Gyaourova, S. Singh, and I. Pavlidis, "Face Recognition by Fusing Thermal Infrared and Visible Imagery", Image and Vision Computing, vol. 24, no. 7, pp. 727-742, 2006.

K. Veropoulos, G. Bebis, and M. Webster, "Investigating the Impact of Face Categorization on Recognition Performance", International Symposium on Visual Computing, (LNCS, vol 3804), Lake Tahoe, NV, December 2005.

N. Goel, G. Bebis, A. Nefian, "Face Recognition Experiments with Random Projection", SPIE Defense and Security Symposium (Biometric Technology for Human Identification), Orlando, FL, March 28 - April 1, 2005.

A. Gyaourova, G. Bebis, and I. Pavlidis, "Fusion of Infrared and Visible Images for Face Recognition", European Conference on Computer Vision (ECCV), Prague, May 11-14, 2004.

S. Singh, A. Gyaourova, G. Bebis, and I. Pavlidis, "Infrared and Visible Image Fusion for Face Recognition", SPIE Defense and Security Symposium (Biometric Technology for Human Identification), Orlando, 12-16 April, 2004.

J. Dowdall, I. Pavlidis, and G. Bebis "Face Detection in the Near-IR Spectrum", AeroSense SPIE Conference, April 2003, Orlando.

J. Dowdall, I. Pavlidis, and G. Bebis, "Face Detection in the Near-IR Spectrum", Image and Vision Computing, vol 21, no. 7, pp. 565-578, 2003.

J. Dowdall, I. Pavlidis, and G. Bebis "A Face Detection Method Based on Multi-Band Feature Extraction in the Near-IR Spectrum",IEEE Workshop on Computer Vision Beyond the Visible Spectrum December 14, 2001, Hawaii.

G. Bebis, S. Uthiram, and M. Georgiopoulos, " Face Detection and Verification Using Genetic Search", International Journal on Artificial Intelligence Tools, vol 9, no 2, pp. 225-246, 2000.

G. Bebis, S. Uthiram and M. Georgiopoulos, "Genetic Search for Face Detection and Verification", IEEE International Conference on Intelligence, Information and Systems (ICIIS'99) , pp. 360-368, Maryland, 1999.

Medical Applications to top

E.Yfantis, T. Lazarakis, G. Bebis, and M. Gallitano, " An Algorithm for Cancer Recognition of Ultrasound Images", International Journal on Artificial Intelligence Tools , vol 9, no 2, pp. 265-276, 2000.

E. Yfantis, T. Lazarakis, A. Popovitch, A. Angelopoulos, and G. Bebis, "On Cancer Recognition of Ultrasound Images", IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, pp 44-54, Hilton Head Island, 2000.

E. Yfantis, T. Lazarakis, G. Bebis, and G. Gallitano "A Computer Algorithm for Cancer Recognition on Ultrasound Images of Prostate Tissue", IEEE International Conference on Intelligence, Information and Systems (ICIIS'99) , pp. 34-39, Maryland, 1999.

G. Papadourakis, E. Gaga, G. Vareltzis and G. Bebis, "Use of ANN for Clinical Decision-Making (Maldescensus Testis)", Proceedings of International Joint Conference on Neural Networks 92 (IJCNN 1992), Vol. III, pp. 159-164, Baltimore, Maryland, June 1992.

G. Papadourakis, S. Micheloyannis, G. Bebis and M. Giaxnakis, "EEG Signal Classification Using Neural Networks ", Engineering Systems with Intelligence, EURISCON '91, S. Tzafestas (ed.), Kluwer Academic, pp. 221-228, 1991.

Neural Networks to top

I. Dagher, M. Georgiopoulos, G. Heilman, and G. Bebis, "An Ordering Algorithm for Pattern Presentation in Fuzzy ARTMAP That Tends to Improve Generalization Performance", IEEE Transactions on Neural Networks , Vol. 10, No. 4, pp. 768-778, 1999.

M. Georgiopoulos, I. Dagher, G. Heilman, and G. Bebis, "Properties of Learning of a Fuzzy ART Variant", Neural Networks., Vol. 12, No. 6, pp. 837-850, 1999.

I. Dagher, M. Georgiopoulos, G. Heilman, and G. Bebis, "Fuzzy ARTVar: An Improved Fuzzy ARTMAP Algorithm", 1998 International Joint Conference on Neural Networks (IJCNN-98), Vol. 3, pp. 1688-1693, May 4-9, Alaska, 1998.

I. Dagher, M. Georgiopoulos, G. Heilman, and G. Bebis, "Ordered Fuzzy ARTMAP: A Fuzzy ARTMAP algorithm with a fixed order of pattern presentation", 1998 International Joint Conference on Neural Networks (IJCNN-98), Vol. 3, pp. 1717-1722, May 4-9, Alaska, 1998.

G. Bebis, M. Georgiopoulos and T. Kasparis, " Coupling Weight Elimination with Genetic Algorithms to Reduce Network Size and Preserve Generalization", Neurocomputing, Vol 17, No. 3&4, pp. 167-194, 1997.

M. Georgiopoulos, H. Fernlund, G. Bebis, and G. Heileman, " Order of Search in Fuzzy ART and Fuzzy ARTMAP: Effect of the choice parameter", Neural Networks.vol. 9, no. 9, pp. 1541-1559, 1996.

G. Bebis, M. Georgiopoulos, and T. Kasparis, "Coupling Weight Elimination and Genetic Algorithms", International Conference on Neural Networks (ICNN-96), vol. 2, pp. 1115-1120, Washington, DC, June 1996.

M. Georgiopoulos, H. Fernlund, G. Bebis, and G. Heileman, "Order of Search in Fuzzy ART and Fuzzy ARTMAP: Effect of the Choice Parameter", invited paper, International Conference on Neural Networks (ICNN-96). Panel and Special Session, pp. 215-220, Washington, DC, June 1996. .

G. Bebis and M. Georgiopoulos, "Improving Generalization by Using Genetic Algorithms to Determine the Neural Network Size", Proceedings of the Southcon/95 Conference, pp. 592-595, Ft. Lauderdale, Florida, March 1995.

G. Bebis and M. Georgiopoulos, " Feed-forward neural networks: why network size is so important" , IEEE Potentials pp. 27-31, October/November 1994.

P. Karkhanis and G. Bebis, "A Performance Evaluation of Variations to the Standard Back-propagation Algorithm", Proceedings of the Southcon/94 Conference, pp. 71-76, Orlando, Florida, March 1994.

G. Bebis, G. Papadourakis and M. Georgiopoulos, " Back Propagation: Increasing Rate of Convergence by Predictable Pattern Loading ", Intelligent Systems Reviews, Vol. 1, No. 3, pp. 14-30, 1989.

Fingerprint Recognition to top

B. Carlson, G. Bebis, and C. Looney, "Minutiae Detection Through Classifier Fusion and Clustering", International Conference on Imaging Science, Systems, and Technology, Las Vegas, June 2002.

G. Bebis, T. Deaconu and M. Georgiopoulos, "Fingerprint Identification Using Delaunay Triangulation", IEEE International Conference on Intelligence, Information and Systems (ICIIS'99), pp. 452-459, Maryland, 1999.

Hand Based Verification to top

G. Amayeh, G. Bebis, A. Erol and M. Nicolescu, "A component-based approach to Hand Verification ", IEEE Workshop on Biometrics (in conjunction with CVPR07), Minneapolis, MN, June 2007.

G. Amayeh, G. Bebis, A. Erol and M. Nicolescu, "A new approach to hand-based authentication ", SPIE Defense and Security Symposium (DS26: Biometric Technology for Human Identification V), Orlando, FL, April 2007.

G. Amayeh, G. Bebis, A. Erol, and M. Nicolescu, "Peg-Free Hand Shape Verification Using High Order Zernike Moments", IEEE Workshop on Biometrics (in conjunction with CVPR06), New York, NY, June 2006.

Eye Gaze Estimation to top

W. Abd-Almageed, S. Fadali, and G. Bebis "A Non-intrusive Kalman Filter-Based Tracker for Pursuit Eye Movement",accepted, American Control Conference 2002 (ACC'02) May 8-10, 2002, Anchorage, Alaska.

G. Bebis and K. Fujimura, "An Eigenspace Approach to Eye-Gaze Estimation", ISCA 13th International Conference on Parallel and Distributed Computing Systems (Special Session on Digital Video and Digital Audio), pp. 604-609, Las Vegas, 2000.

Gender Classification to top

G. Amayeh, G. Bebis and M. Nicolescu, "Gender Classification from Hand Shape ", IEEE Workshop on Biometrics (in conjunction with CVPR08), 2008.

F. Scalzo, G. Bebis, Mircea Nicolescu, L. Loss, and A. Tavakkoli, "Feature Fusion Hierarchies for Gender Classification ", International Conference on Pattern Recognition (ICPR08), December 2008.

Z. Sun, G. Bebis, X. Yuan, and S. Louis, "Genetic Feature Extraction for Gender Classification: A Comparison Study", IEEE Workshop on Applications of Computer Vision, Orlando, December 2002.

Z. Sun, X. Yuan, G. Bebis, and S. Louis, "Neural-Network-Based Gender Classification Using Genetic Eigen-Feature Extraction", IEEE International Joint Conference on Neural Networks, May 2002, Honoloulu, Hawaii.

Human Activity Recognition to top

A. Tavakkoli, R. Kelley, C. King, Mircea Nicolescu, Monica Nicolescu, and G. Bebis, "A Vision-based Architecture for Intent Recognition", 3rd International Symposium on Visual Computing (ISVC07), Lecture Notes of Computer Science (LNCS), vol. 4842, pp. 173-182, November 26-28, 2007, Lake Tahoe, NV.

R. Kelley, A. Tavakkoli, C. King, Monica Nicolescu, Mircea Nicolescu, and George Bebis, "Understanding Human Intentions via Hidden Markov Models in Autonomous Mobile Robots", ACM/IEEE International Conference on Human-Robot Interaction, Amsterdam, Netherlands, March 2008.

J. Usabiaga, G. Bebis, A. Erol, Mircea Nicolescu, and Monica Nicolescu, "Recognizing Simple Human Actions Using 3D Head Trajectories", Computational Intelligence (special issue on Ambient Intelligence), vol. 23, no. 4, pp. 484-496, 2007.

R. Kelley, C. King, A. Tavakkoli, Mircea Nicolescu, Monica Nicolescu, and G. Bebis, "An architecture for understanding intent using novel hidden Markov formulation", International Journal of Humanoid Robotics, (special issue on ""Cognitive Humanoid Robots"), (accepted), 2008.

N. Bourbakis and G. Bebis, "A Method for Associating Patterns of Motion in Events from Video: A Case Study", IEEE International Conference on Tools with Artificial Intelligence (ICTAI06), Washington, DC, November 2006.

J. Bhatt, N. Lobo, M. Shah, and G. Bebis "Automatic recognition of a baby gesture", IEEE International Conference on Tools with Artificial Intelligence, November 2003, Sacremento.

N. Bourbakis, J. Gattiker, and G. Bebis "A Synergistic Model for Interpreting Human Activities and Events from Video", International Journal on Artificial Intelligence Tools , vol. 12, no. 1, 2003.

N. Bourbakis, G. Bebis, and J. Gattiker "A Synergistic Model for Interpreting Human Activities and Events from Video: A Case Study", IEEE International Conference on Tools with Artificial Intelligence, pp. 132-139, Vancouver, Canada, 2000.

Classification to top

G. Bebis, M. Georgiopoulos, G. Papadourakis and G. Heileman,"Increasing Classification Accuracy Using Multiple Neural Network Schemes", Proceedings of the SPIE (Inter. Soc. for Opt. Eng.), Vol. 1709, pp. 221-231, Orlando, Florida, April 1992.

Visual Motion Analysis to top

Mircea Nicolescu, Gérard Medioni, "Robust 3-D Interpretation from Two Frames with Multiple Motions", Proceedings of the IASTED International Conference on Computer Graphics and Imaging, pages 272-278, Kauai, Hawaii, August 2004.

Mircea Nicolescu, Changki Min, Gérard Medioni, "Analysis and Interpretation of Multiple Motions through Surface Saliency", Proceedings of the International Workshop on Spatial Coherence for Visual Motion Analysis (in conjunction with the European Conference on Computer Vision), Prague, Czech Republic, May 2004.

Mircea Nicolescu, Gérard Medioni, "Voting-Based Grouping and Interpretation of Visual Motion", Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, pages 211-215, Lake Tahoe, Nevada, March 2004.

Mircea Nicolescu, Gérard Medioni, "Motion Segmentation with Accurate Boundaries - A Tensor Voting Approach", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, vol. I, pages 382-389, Madison, Wisconsin, June 2003.

Mircea Nicolescu, Gérard Medioni, "Layered 4D Representation and Voting for Grouping from Motion", IEEE Transactions on Pattern Analysis and Machine Intelligence - Special Issue on Perceptual Organization in Computer Vision, vol. 25, no. 4, pages 492-501, April 2003.

Mircea Nicolescu, Gérard Medioni, "4-D Voting for Matching, Densification and Segmentation into Motion Layers", Proceedings of the International Conference on Pattern Recognition, vol. III, pages 303-308, Quebec City, Canada, August 2002.

Mircea Nicolescu, Gérard Medioni, "Perceptual Grouping from Motion Cues Using Tensor Voting in 4-D", Proceedings of the European Conference on Computer Vision, vol. III, pages 423-437, Copenhagen, Denmark, May 2002.

Mircea Nicolescu, Gérard Medioni, "GlobeAll: Panoramic Video for an Intelligent Room", Proceedings of the International Conference on Pattern Recognition, vol. I, pages 823-826, Barcelona, Spain, September 2000.

Mircea Nicolescu, Gérard Medioni, "Electronic Pan-Tilt-Zoom: A Solution for Intelligent Room Systems", Proceedings of the International Conference on Multimedia and Expo, pages 1581-1584, New York, NY, July 2000.

Mircea Nicolescu, Gérard Medioni, Mi-Suen Lee, " Segmentation, Tracking and Interpretation Using Panoramic Video", Proceedings of the IEEE Workshop on Omnidirectional Vision, pages 169-174, Hilton Head Island, SC, June 2000.

Multimedia to top

N. Bourbakis and G. Bebis, "Digital Multimedia on Demand", IEEE Multimedia, January-March 2004 (editorial).

Applications to top

T. Patten, W. Li, G. Bebis, and M. Freeman, "Automatic Heliothis Zea Classification Using Image Analysis", IEEE International Conference on Tools with Artificial Intelligence, Boca Raton, FL, November 15-17, 2004.

Morphing to top

G. Cong, M. Eser, B. Parvin, and G. Bebis, "Shape Metamorphism Using p-Laplacian Equation", International Conference on Pattern Recognition (ICPR), Cambridge UK, 23-26 August 2004.

Image Retrieval to top

V. Nikulin and G. Bebis, "Multiresolution Image Retrieval Through Fusion", SPIE Electronic Imaging (Storage and Retrieval Methods and Applications for Multimedia), San Jose, January 2004.

Surveillance to top

Alireza Tavakkoli, Mircea Nicolescu, George Bebis, Monica Nicolescu, "Non-Parametric Statistical Background Modeling for Efficient Foreground Region Detection ", Machine Vision and Applications, pages 1-15, Springer-Verlag, April 2008.

J. Wang, G. Bebis, Mircea Nicolescu, Monica Nicolescu, and R. Miller, "Improving Target Detection by Coupling It with Tracking", Machine Vision and Applications, (accepted), 2008.

A. Tavakkoli, Mircea Nicolescu, G. Bebis, and Monica Nicolescu, "A Support Vector Data Description Approach for Background Modeling in Videos with Quasi-Stationary Backgrounds", International Journal on Artificial Intelligence Tools (accepted), 2008.

A. Tavakkoli, Mircea Nicolescu, G. Bebis and Monica Nicolescu, "Efficient Background Modeling through Incremental Support Vector Data Description ", International Conference on Pattern Recognition (ICPR08), December 2008.

A. Tavakkoli, Mircea Nicolescu, Monica Nicolescu, and G. Bebis, "Incremental SVDD Training: Improving Efficiency of Background Modeling in Videos ", Signal and Image Processing (SIP08), August 2008.

A. Ambardekar, M. Nicolescu, and G. Bebis, "Efficient Vehicle Tracking and Classification for an Automated Traffic Surveillance System ", Signal and Image Processing (SIP08), August 2008.

J. Martinez, A. Erol, G. Bebis, R. Boyle, and X. Twombly, "Integrating Perceptual Level of Detail with Head Pose Estimates and their Uncertainty", Machine Vision and Applications (accepted), 2008.

Alireza Tavakkoli, Amol Ambardekar, Mircea Nicolescu, Sushil Louis, "A Genetic Approach to Training Support Vector Data Descriptors for Background Modeling in Video Data", Proceedings of the International Symposium on Visual Computing, pages 318-327, Lake Tahoe, Nevada, November 2007.

A. Tavakkoli, M. Nicolescu, and G. Bebis, "A Novelty Detection Approach for Foreground Region Detection in Videos with Quasi-stationary Backgrounds", 2nd International Symposium on Visual Computing (ISVC06), Lake Tahoe, November 6-8, 2006.

A. Tavakkoli, M. Nicolescu, and G. Bebis, "Robust Recursive Learning for Foreground Region Detection in Videos with Quasi-Stationary Backgrounds", International Conference on Pattern Recognition (ICPR06), Hong Kong, August 2006.

J. Wang, G. Bebis, and R. Miller, "Robust Video-Based Surveillance by Integrating Target Detection with Tracking", IEEE Workshop on Object Tracking and Classification Beyond the Visible Spectrum (in conjunction with CVPR06), New York, NY, June 2006.

A. Tavakkoli, M. Nicolescu, and G. Bebis, "An Adaptive Recursive Learning Technique for Robust Foreground Object Detection", Workshop on Statistical Methods in Multi-image and Video Processing, (in conjunction with ECCV06), Graz, Austria, May 2006.

A. Tavakkoli, M. Nicolescu, and G. Bebis, "Automatic Statistical Object Detection for Visual Surveillance", IEEE Southwest Symposium on Image Analysis and Interpretation, Denver, CO, March 2006.

A. Tavakkoli, M. Nicolescu, and G. Bebis, "Automatic Robust Background Modeling Using Multivariate Non-Parametric Kernel Density estimation for Visual Surveillance", International Symposium on Visual Computing, (LNCS, vol 3804), Lake Tahoe, NV, December 2005.

Z. Sun, Z. Sun, Y. Varol and G. Bebis, "A distributed Visual Surveillance System", IEEE International Conference on Advanced Video and Signal Based Surveillance, Miami, July 2003.

Visual Hull to top

A. Erol, G. Bebis, R. Boyle and M. Nicolescu, "Visual Hull Construction Using Adaptive Sampling", IEEE Workshop on Applications of Computer Vision, Breckenridge, CO, January 5-7, 2005.

Human-Computer Interaction to top

A. Ambardekar, M. Nicolescu, and S. Dascalu, "Ground Truth Verification Tool (GTVT) for Video Surveillance Systems", The Second International Conferences on Advances in Computer-Human Interactions (ACHI 2009) (accepted), 2009.

J. Usabiaga, A. Erol, G. Bebis, R. Boyle, and X. Twombly, "Global Hand Pose Estimation by Multiple Camera Ellipse Tracking", Machine Vision and Applications (accepted), 2008.

A. Erol, G. Bebis, M. Nicolescu, R. Boyle, X. Twombly, "Vision-Based Hand Pose Estimation: A Review", Computer Vision and Image Understanding (special issue on Vision for Human-Computer Interaction), 2007 (to appear).

J. Usabiaga, A. Erol, G. Bebis, R. Boyle, and X. Twombly, "Global Hand Pose Estimation by Multiple Camera Ellipse Tracking", 2nd International Symposium on Visual Computing (ISVC06), Lake Tahoe, November 6-8, 2006.

J. Martinez, A. Erol, G. Bebis, R. Boyle, and X. Twombly, "Rendering Optimizations Guided by Head-Pose Estimates and their Uncertainty", International Symposium on Visual Computing, (LNCS, vol 3804), Lake Tahoe, NV, December 2005.

A. Erol, G. Bebis, M. Nicolescu, R. Boyle and X. Twombly, "A Review on Vision-Based Full DOF Hand Motion Estimation", IEEE Workshop on Vision for Human-Computer Interaction, San Diego, CA, June 21, 2005.

Biological Vision to top

K. McDermott, I. Juricevic, G. Bebis, and M. Webster, "Adapting Images to Observers", SPIE Electronic Imaging (Human Vision and Electronic Imaging XIII), vol. 6806, San Jose, CA, January 2008.

M. Webster, K. McDermott, and G. Bebis, "Fitting the world to the mind: Transforming images to mimic perceptual adaptation", 3rd International Symposium on Visual Computing (ISVC07), Lecture Notes of Computer Science (LNCS), vol. 4842, pp. 757-768, November 26-28, 2007, Lake Tahoe, NV.

K. McDermott, J. Mulligan, G. Bebis, and M. Webster, "Visual Search and Eye Movements in Novel and Familiar Contexts", SPIE Electronic Imaging (Human Vision and Electronic Imaging XI), San Jose, January 2006.

Computer Vision Education to top

G. Bebis and D. Egbert, "Using Computer Vision to Improve Learning and Knowledge Acquisition", 4th International Conference on Information Communication Technologies in Education, Samos, Greece, July 2003.

G. Bebis and D. Egbert, "Integrating Teaching with Research Using Computer Vision Examples", International Conference on Computers and Advanved Technology in Education, Rhodes, Greece, July 2003.

Dwight Egbert, George Bebis, and Dave Williams, "Computer Vision Research Teaching Modules for Community College Computer Science and Engineering Courses", 2003 ASEE Annual Conference & Exposition, June 2003.

G. Bebis. D. Egbert, and M. Shah, "Review of Computer Vision Education", IEEE Transactions on Education, vol. 46, no. 1, pp. 2-21, 2003.

D. Egbert, G. Bebis, M. McIntosh, N. LaTourrette, and A. Mitra,"Computer Vision Research as a Teaching Tool in CS1", 32nd ASEE/IEEE Frontiers in Education Conference, Boston, November 2002.

Robotics to top

Christopher King, Xavier Palathingal, Monica Nicolescu, Mircea Nicolescu, "A Control Architecture for Long-Term Autonomy of Robotic Assistants", Proceedings of the International Symposium on Visual Computing, pages 375-384, Lake Tahoe, Nevada, November 2007.

Christopher King, Xavier Palathingal, Monica Nicolescu, Mircea Nicolescu, "A Vision-Based Architecture for Long-Term Human-Robot Interaction", Proceedings of the International Conference on Human-Computer Interaction, pages 1-6, Chamonix, France, March 2007.