Larry S. Davis
Larry S. Davis is a Professor in the Institute
for Advanced Computer Studies and the Department of Computer Science.
He is affiliated with the Computer
Vision Laboratory of the Center for Automation Research, for which he
served as the head from 1981-1986. He has been the Chair of the
Department of Computer Science since 1999.
COURSE MATERIALS
- Data structures . This page contains the syllabus
for CMSC 420, a senior level course on data structures, project descriptions
and pointers to pdf files that contain the
viewgraphs used for the course.
- Computer
Vision . This is a senior level
introductory course on computer vision. This page contains the course
syllabus, presentation materials and project descriptions.
Our sponsors (present and recent past):
RESEARCH STAFF
Research Scientists
Current Ph. D. Students
Alumni
(MOSTLY RECENT) PAPERS
Background subtraction
- Ser-Nam
Lim, Anurag Mittal,
Larry S. Davis and Nikos Paragios., Fast Illumination-invariant Background Subtraction Using Two
Views: Error Analysis, Sensor Placement and Applications. In IEEE
Conference on Computer Vision and Pattern Recognition (CVPR), San Diego, CA,
June 2005
- K.
Kim, T. H. Chalidabhongse, D. Harwood and L. Davis, Real-time
Foreground-Background Segmentation using Codebook Model, Real-time
Imaging, Volume 11, Issue 3, Pages 167-256, June 2005
- K. Kim, T. H. Chalidabhongse, D. Harwood
and L. Davis, Background
Modeling and Subtraction by Codebook Construction, IEEE
International Conference on Image Processing (ICIP) 2004.
- T. H.
Chalidabhongse, K. Kim, D.
Harwood and L. Davis, A Perturbation
Method for Evaluating Background Subtraction Algorithms, Joint
IEEE International Workshop on Visual Surveillance and Performance Evaluation
of Tracking and Surveillance (VS-PETS 2003), Nice, France, Oct. 11-12,
2003.
- A. Elgammal, R. Duraiswami, D. Harwood and L. S. Davis, Background and Foreground Modeling using
Non-parametric Kernel Density Estimation for Visual Surveillance, Proceedings of the IEEE, July
2002. [PDF]
- A. Elgammal, D. Harwood, L. S. Davis, Non-parametric
Model for Background Subtraction, ECCV'00 [PDF]
Human detection and appearance matching
- W.R. Schwartz, A. Kembhavi,
D. Harwood, L.S. Davis. Human Detection
Using Partial Least Squares Analysis. Accepted to be presented in
the International Conference on Computer Vision (ICCV'2009), Kyoto, Japan,
September 27 - October 4, 2009
- W.R. Schwartz, L.S. Davis. Learning Discriminative Appearance-Based
Models Using Partial Least Squares. Accepted to be presented in
the XXII Brazilian Symposium on Computer Graphics and Image Processing
(SIBGRAPI'2009), Rio de Janeiro,
Brazil,
October 11-14, 2009
- W.R. Schwartz, R. Gopalan, R. Chellappa, L.S. Davis. Robust Human Detection under Occlusion
by Integrating Face and Person Detectors. Lecture Notes in
Computer Science, vol. 5558, pp. 970-979, Springer-Verlag.
Third International Conference on Biometrics (ICB'2009), Alghero, Italy, June 2-5, 2009.
- Zhe Lin and Larry S. Davis,
"A Pose-Invariant Descriptor for Human Detection and
Segmentation," 10th European Conference on Computer Vision (ECCV
2008), Marseille, France, 2008. (pdf)
- Zhe Lin and Larry S. Davis,
"Learning Pairwise Dissimilarity Profiles
for Appearance Recognition in Visual Surveillance," 4th International
Symposium on Visual Computing (ISVC 2008), Las Vegas, Nevada,
2008, (Best Paper Award). (pdf)
- Wael Abd-Almageed and Larry
Davis, Human
Detection using Iterative Feature Selection and Logistic Principal
Component Analysis, International Conference Robotics and
Automation, 2008
- W. Abd-Almageed, M. Hussein,
M. Abdelkader and L. Davis, Real-Time
Human Detection and Tracking from Mobile Vehicles, International
Conference on Intelligent Transportation Systems, 2007
- W. Abd-Almageed and L. Davis,
Robust
Appearance Modeling for Pedestrain and Vehicle
Tracking, Springer's Lecture Notes in Computer Science, 2007
(4122).
- Zhe Lin, Larry S. Davis, David Doermann,
Daniel DeMenthon, Hierarchical
Part-Template Matching for Human Detection and Segmentation, IEEE International Conference
on Computer Vision (ICCV 2007), Rio de Janeiro, Brazil, 2007.pdf
- Zhe Lin, Larry S. Davis, David Doermann,
Daniel DeMenthon, An Interactive Approach to Pose-Assisted and Appearance-based
Segmentation of Humans, ICCV
Workshop on Interactive Computer Vision (ICV 2007), Rio de Janeiro,
Brazil, 2007.pdf
- Zhe Lin, Larry S. Davis, David Doermann,
Daniel DeMenthon, Simultaneous
Appearance Modeling and Segmentation for Matching People under Occlusion, Asian Conference on Computer
Vision (ACCV 2007), Tokyo, Japan, 2007.pdf
- V. S. N. Prasad, L. S. Davis,
S. D. Tran and A. Elgammal, Edge Affinities for Pose-Contour Matching. J. Computer Vision and Image
Understanding (CVIU), 104(1): 36-47, Oct. 2006, (pdf)
- Y. Yacoob and L. Davis, Detection and Analysis of Hair,
IEEE PAMI, (28)7,2006, 1164-1169.
- Mohamed Hussein, Wael
Abd-Almageed, Yang Ran and Larry Davis, A
Real-Time System for Human Detection, Tracking and Verification from a
Moving Camera, IEEE
International Conference on Computer Vision Systems, 2006.
- Vinay D. Shet, Jan Neumann, Visvanathan
Ramesh and Larry S. Davis, Bilattice
based Logical Reasoning for Human Detection, IEEE Computer Vision and Pattern
Recognition (CVPR), 2007, Minneapolis,
MN, USA
[pdf]
- Yang Ran, Qinfen Zheng, Isaac
Weiss and Larry Davis Wael Abd Almageed, Pedestrian Classification
from Moving Platforms using Cyclic Motion Patterns, IEEE
International Conference on Image Processing, 2005.
- Y. Yacoob and L. Davis, Smiling Faces are Better
for Face Recognition. in International Conference on
Face Recognition and Gesture Analysis, Washington-DC, 2002, 59-64
- I.Haritaoglu,
D.Harwood, and L.Davis, Ghost:
A Human Body Part Labeling System Using Silhouettes [PS],[PDF] Fourteenth
International Conference on Pattern Recognition, Brisbane, August 1998.
- I.Haritaoglu,
D.Harwood, and L.Davis.W4S:
A Real Time System for Detecting and Tracking People in 2.5 D
[PS],[PDF] Fifth
European Conference on Computer Vision, Freiburg, June 1998
Tracking
- Aniruddha Kembhavi, William
Robson Schwartz, and Larry S. Davis , Resource
Allocation for Tracking Multiple Targets using Particle Filters,
Eighth International Workshop on Visual Surveillance (VS2008) - Workshop
at ECCV 2008, pdf
- Son Tran, Zhe Lin, David Harwood, Larry Davis, UMD_VDT, an Integration of Detection and Tracking Methods for
Multiple Human Tracking, Classification
of Events, Activities and Relationships Workshop (CLEAR 2007). pdf
- Aniruddha
Kembhavi, Ryan Farrell, Yuancheng Luo, David Jacobs, Ramani
Duraiswami, Larry Davis, Tracking Down Under: Following the
Satin Bowerbird, WACV 2008.

- Son Tran and Larry Davis. Robust Object Tracking with Regional
Affine Invariant Features, IEEE International Conference on Computer Vision
(ICCV07),Rio
di
Janeiro, Brazil, 2007.
pdf
- Son Tran and Larry Davis, Object Tracking at Multiple Levels of
Spatial Resolutions. ICIAP’07.
2007. Best Paper Prize. pdf
- Kyungnam Kim and Larry S. Davis, Multi-Camera
Tracking and Segmentation of Occluded People on Ground Plane using
Search-Guided Particle Filtering, European Conference on
Computer Vision (ECCV), LNCS, 2006.
- Bohyung
Han, Seong-Wook Joo
and Larry Davis, Probabilistic Fusion Tracking Using
Mixture Kernel-Based Bayesian Filtering, International Conference on Computer
Vision (ICCV), Rio de Janeiro, Brazil, 2007
- Bohyung
Han, Dorin Comaniciu,
Ying Zhu and Larry Davis, Sequential Kernel Density Approximation
and Its Applications to Visual Tracking, IEEE Transactions on Pattern Analysis
and Machine Intelligence (Regular paper), in press
- Bohyung
Han and Larry Davis, On-Line Density-Based Appearance
Modeling for Object Tracking, International
Conference on Computer vision (ICCV), Beijing, China,
2005
- Bohyung
Han and Larry Davis, Robust Observations for Object Tracking,
International Conference on Image Processing (ICIP), Genova, Italy, 2005
- Bohyung
Han, Ying Zhu, Dorin Comanicu
and Larry Davis, Kernel-Based Bayesian Filtering for
Object Tracking, International Conference on Computer Vision
and Pattern Recognition (CVPR), San Diego, USA, 2005
- Bohyung
Han, and Larry Davis, Object Tracking by Adaptive Feature
Extraction , International Conference on Image
Processing (ICIP), Singapore,
2004
- Bohyung
Han, Dorin Comaniciu,
Ying Zhu, and Larry Davis, Incremental Density Approximation and
Kernel-Based Bayesian Filtering for Object Tracking,
International Conference on Computer Vision and Pattern Recognition
(CVPR), Washington DC, USA, 2004
- Bohyung
Han, Dorin Comaniciu,
and Larry Davis, Sequential Kernel Density Approximation
through Mode Propagation: Applications to Background Modeling,
Asian Conference on Computer Vision (ACCV), Jeju Island, Korea, 2004
- Anurag
Mittal and Larry S. Davis, M2Tracker:
A Multi-View Approach to Segmenting and Tracking People in a Cluttered
Scene. International Journal of Computer
Vision (IJCV). Vol.
51 (3), Feb/March 2003.
- A. Elgammal,
R. Duraiswami, and L. S. Davis, Probabilistic Tracking in Joint
Feature-Spatial Spaces CVPR'03, [PDF]
- A. Elgammal
and L. S. Davis, Probabilistic
Framework for Segmenting People Under Occlusion, ICCV'01 [PDF]
- Y. Yacoob and L.S. Davis, Learned Models for Estimation of Rigid
and Articulated Human Motion from Stationary or Moving Camera, Int. Journal of
Computer Vision, 36(1), 2000, 5-30.
Camera networks
- Hazem
El-Alfy, David Jacobs and Larry
Davis, “Multi-Scale Video Cropping,” in Proceedings of
the 15th ACM International Conference on Multimedia
(MM’07), pp. 97-106, Augsburg,
Bavaria, Germany,
September 23–28, 2007. pdf
- Ryan Farrell, David Doermann,
Larry Davis, "Learning Higher-order Transition Models in
Medium-scale Camera Networks", OMNIVIS 2007.
- Abhinav Gupta, Anurag Mittal and Larry S.
Davis, COST*: An Approach for Camera Selection and Multi-Object Inference
Ordering in Dynamic Scenes, In ICCV
2007 (PDF) .
- Anurag Mittal and Larry S.
Davis. Visibility
Analysis and Sensor Planning in Dynamic Environments. In 8th
European Conference on Computer Vision (ECCV), Prague, Czech Republic,
May, 2004.
- Ser-Nam
Lim, Larry Davis, Anurag Mittal,
“Task Scheduling in Large Camera Network”, ACCV 2007, Tokyo, Japan.(pdf)
- Ser-Nam
Lim, Larry S. Davis, Anurag Mittal,
"Constructing Task Visibility Intervals for a Surveillance
System", ACM Multimedia System
Journal, Special Issue on Multimedia Surveillance System, Vol. 12, No.
3, Dec 2006. (pdf)
- Ser-Nam Lim, Anurag
Mittal, Larry Davis, Constructing Task
Visibility Intervals for Surveillance Systems, VSSN 2005, Nov 11-12, Singapore.
(pdf)
- Ser-Nam Lim, Ahmed Elgammal
and Larry S. Davis, Image-based Pan-tilt Camera Control in a Multi-Camera
Surveillance Environment, IEEE ICME 2003, Special Session on Visual
Surveillance, Jul 6-9, Baltimore,
Maryland. (pdf)
Human movement modeling
- S. N.
Vitaladevuni, V. Kellokumpu and L. S. Davis, Action Recognition using Ballistic
Dynamics, Conf. on Computer Vision and Pattern Rec. (CVPR) 2008 (PDF).
- V. S. N. Prasad, V. Kellokumpu
and L. S. Davis, Ballistic Hand
Movements, Proc. Conf. Articulated Motion and Deformable Objects
(AMDO) 2006, July 2006.(PDF)
- V. D. Shet, V. S. N. Prasad, A. Elgammal,
Y. Yacoob and L. S. Davis, Multi-cue
Exemplar-based Nonparametric Model for Gesture Recognition, in Proc. Indian Conf. Computer Vision,
Graphics and Image Processing (ICVGIP) 2004, Dec. 2004.(PDF)
- Ahmed Elgammal, Vinay D. Shet, Yaser Yacoob and Larry Davis, Learning
Dynamics for Exemplar based Gesture Recognition, IEEE International Conference on
Computer Vision and Pattern Recognition (CVPR) Wisconsin 2003 [pdf]
- A. Sepheri, Y.
Yacoob and L. Davis, Employing the Hand as an Interface
Device, Journal of Multimedia, (1)7, 2006, 18-29
3D Human Motion Capture
- Abhinav
Gupta, Trista Chen, Francine Chen, Don Kimber and Larry S. Davis, Context and Observation Driven Latent Variable Model for Human
Pose Estimation, in CVPR 2008, (PDF)
- Abhinav
Gupta, Anurag Mittal
and Larry S. Davis, Constraint
Integration for Multiview Pose Estimation of
Humans with Self-Occlusions, 3DPVT
2006 (PDF)
- Anurag Mittal, Liang Zhao
and Larry Davis., Human Body pose Estimation by Shape Analysis of Silhouettes. IEEE
International Conference on Advanced Video and Signal Based Surveillance (AVSS), Orlando,
Florida, July 2003.
- T. Horparasert, I.
Haritaoglu, D. Harwood, L. Davis, C. Wren, A. Pentland Real-time
3D Motion Capture. [PS],[PDF] Second Workshop on Perceptual
Interfaces, San Francisco,
November 1998
- K. Ebihara, L.S. Davis, J. Kurumisawa,
T. Horprasert, R.I. Haritaoglu, T. Sakaguchi and J. Ohya, Shall
We Dance? -Real Time 3D Control of a CG Puppet, SIGGRAPH98
Conference Abstract and Applications, Orlando, July 1998.
- D. M. Gavrila
and L. S. Davis, 3D Model-based Tracking of Humans in Action: a
Multi-view Approach, Proc.
of IEEE Conference on Computer Vision and Pattern Recognition, pp.
73-80, San Francisco, U.S.A., 1996.
Object/Action Recognition
- Zhe Lin, Zhuolin Jiang, and Larry S.
Davis, Recognizing Actions by Shape-Motion
Prototype Trees, IEEE International Conference on Computer Vision (ICCV 2009),
Kyoto, Japan
- Aniruddha
Kembhavi, Behjat Siddiquie, Roland Miezianko,
Scott McCloskey, Larry S. Davis, Scene it or not? Incremental Multiple
Kernel Learning for Object Detection,
International Conference on
Computer Vision - ICCV 2009
- Zhe Lin, Gang Hua, and Larry S. Davis, Multiple Instance Feature for Robust
Part-based Object Detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR
2009), Miami, Florida, 2009
- Abhinav Gupta, Aniruddha Kembhavi and Larry S. Davis, Observing
Human-Object Interactions: Using Spatial and Functional Compatibility for
Recognition. IEEE Transactions on Pattern Analysis and Machine
Intelligence (Special Issue on Probabilistic Graphical Models), October
2009, 1775-1789\
- Ahinav Gupta,
Jianbo Shi and Larry S. Davis, A "Shape Aware" Model for
semi-supervised Learning of Objects and its Context, NIPS 2008
- Abhinav Gupta and Larry S. Davis, Objects in Action:
An Approach for Combining Action Understanding and Object Perception, CVPR 2007 (PDF)
- Abhinav Gupta and Larry S. Davis, Beyond
nouns: Exploiting prepositions and comparative adjectives for learning
visual classifiers, ECCV 2008 (pdf)
Event modeling and recognition
- Abhinav
Gupta, Praveen Srinivasan, Jianbo Shi and Larry
S. Davis, Understanding Videos, Constructing
Plots: Learning a Visually Grounded Storyline Model from Annotated Videos,
In CVPR 2009.
- Son
Tran and Larry Davis, Visual Event Modeling and Recognition using Markov
Logic Networks ECCV’08. 2008. (pdf )
- Vinay D. Shet, David Harwood
and Larry S. Davis, Multivalued
Default Logic for Identity Maintenance in Visual Surveillance, 9th European Conference on Computer
Vision (ECCV), 2006, Graz, Austria [pdf]
- Vinay D. Shet, David Harwood
and Larry S. Davis, Top-Down,
Bottom-up Multivalued Default Reasoning for
Identity Maintenance, 4th ACM
International Workshop on Video Surveillance & Sensor Networks (VSSN)
in conjunction with ACM Multimedia Santa Barbara, CA, USA, 2006 [pdf]
- Vinay D. Shet, David Harwood
and Larry S. Davis, VidMAP: Video Monitoring of Activity with
Prolog, IEEE International
Conference on Advanced Video and Signal based Surveillance (AVSS), Como, Italy,
September 2005 [pdf]
- Nagia Ghanem,
Daniel DeMenthon, David Doermann
and Larry Davis, Representation and Recognition of Events
in Surveillance Video Using Petri Nets.. Second IEEE
Workshop on Event Mining 2004, CVPR2004
Miscellaneous
- V. S.
N. Prasad, B. Siddiquie, J. Golbeck and L. S. Davis, Classifying Computer Generated Charts, Workshop on Content
Based Multimedia Indexing (CBMI) 2007 (PDF).
- Yacoob and L. Davis, Segmentation using
Meta-texture Saliency , International Conference on
Computer Vision, Rio De
Janeiro, Brazil,
2007.
- V. S.
N. Prasad and L. S. Davis, Detecting
Rotational Symmetries, (Oral Pres.) Proc. IEEE Int'l Conf. Computer
Vision (ICCV) 2005, Oct. 2005.(PDF)
- Bohyung Han and Larry Davis, Semi-Parametric
Model-Based Clustering for DNA Microarray Data, International
Conference on Pattern Recognition (ICPR), Hong Kong, China,
2006
- Wael Abd-Almageed and Larry
Davis, Density
Estimation using Mixtures of Mixtures of Gaussians, European
Conference on Computer Vision , 2006.
- Y. Yacoob and L.S. Davis, Segmentation of
Planar Objects and their Shadows in Motion Sequences,
Int. Journal of Computer Vision, (67)1, April 2006, 53 - 69.