Mircea Nicolescu
Mircea Nicolescu
Professor of Computer Science and Engineering, University of Nevada, Reno
Verified email at cse.unr.edu - Homepage
Title
Cited by
Cited by
Year
Vision-based hand pose estimation: A review
A Erol, G Bebis, M Nicolescu, RD Boyle, X Twombly
Computer Vision and Image Understanding 108 (1-2), 52-73, 2007
9572007
Understanding human intentions via hidden markov models in autonomous mobile robots
R Kelley, A Tavakkoli, C King, M Nicolescu, M Nicolescu, G Bebis
Proceedings of the 3rd ACM/IEEE international conference on Human robot …, 2008
1862008
A review on vision-based full DOF hand motion estimation
A Erol, G Bebis, M Nicolescu, RD Boyle, X Twombly
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
1402005
Fast digital pan tilt zoom video
MS Lee, M Nicolescu, G Medioni
US Patent 6,778,207, 2004
1062004
Peg-free hand shape verification using high order Zernike moments
G Amayeh, G Bebis, A Erol, M Nicolescu
2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW …, 2006
952006
Non-parametric statistical background modeling for efficient foreground region detection
A Tavakkoli, M Nicolescu, G Bebis, M Nicolescu
Machine Vision and Applications 20 (6), 395-409, 2009
842009
Gender classification from hand shape
G Amayeh, G Bebis, M Nicolescu
2008 IEEE Computer Society Conference on Computer Vision and Pattern …, 2008
792008
Accurate and efficient computation of high order zernike moments
G Amayeh, A Erol, G Bebis, M Nicolescu
International Symposium on Visual Computing, 462-469, 2005
792005
Efficient Vehicle Tracking and Classification for an Automated Traffic Surveillance System
A Ambardekar, M Nicolescu, G Bebis
International Conference on Signal and Image Processing, 1-6, 2008
552008
Motion segmentation with accurate boundaries-a tensor voting approach
M Nicolescu, G Medioni
2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003
542003
A novelty detection approach for foreground region detection in videos with quasi-stationary backgrounds
A Tavakkoli, M Nicolescu, G Bebis
International symposium on visual computing, 40-49, 2006
472006
An iterative multi-scale tensor voting scheme for perceptual grouping of natural shapes in cluttered backgrounds
L Loss, G Bebis, M Nicolescu, A Skurikhin
Computer Vision and Image Understanding 113 (1), 126-149, 2009
442009
Vehicle classification framework: a comparative study
A Ambardekar, M Nicolescu, G Bebis, M Nicolescu
EURASIP Journal on Image and Video Processing 2014 (1), 29, 2014
412014
Hand-based verification and identification using palm–finger segmentation and fusion
G Amayeh, G Bebis, A Erol, M Nicolescu
Computer Vision and Image Understanding 113 (4), 477-501, 2009
412009
Layered 4D representation and voting for grouping from motion
M Nicolescu, G Medioni
IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (4), 492-501, 2003
392003
A voting-based computational framework for visual motion analysis and interpretation
M Nicolescu, G Medioni
IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (5), 739-752, 2005
382005
Incremental svdd training: Improving efficiency of background modeling in videos
A Tavakkoli, M Nicolescu, M Nicolescu, G Bebis
Proceedings of the 10th IASTED international conference 623, 092, 2008
372008
Context-based bayesian intent recognition
R Kelley, A Tavakkoli, C King, A Ambardekar, M Nicolescu, M Nicolescu
Autonomous Mental Development, IEEE Transactions on 4 (3), 215-225, 2012
352012
Feature fusion hierarchies for gender classification
F Scalzo, G Bebis, M Nicolescu, L Loss, A Tavakkoli
2008 19th International Conference on Pattern Recognition, 1-4, 2008
332008
An architecture for understanding intent using a novel hidden markov formulation
R Kelley, C King, A Tavakkoli, M Nicolescu, M Nicolescu, G Bebis
International Journal of Humanoid Robotics 5 (02), 203-224, 2008
322008
The system can't perform the operation now. Try again later.
Articles 1–20