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Tracking
and recognition
- X. Fan, G. Fan and J. Havilcek, "Generative
Graphical Models for Maneuvering Target Tracking",
IEEE Trans. Aerospace and Electronics Systems, in press.
- C. Johnston, N. Mould, J. Havlicek and Guoliang
Fan, "Dual Domain Auxiliary Particle Filter with Integrated
Target Signature Update", in Proc. of 6th IEEE International
Workshop on Object Tracking and Classification in and Beyond
Visible Spectrum (OTCBVS09), in conjunction with CVPR09,
Miami, Florida, 2009.
- V. Venkataraman, G. Fan,
Xin Fan, and Joseph Havlicek, "Appearance
Learning by Adaptive Kalman Filters for FLIR Tracking" in
Proc. of 6th IEEE International Workshop on Object Tracking and
Classification in and Beyond Visible Spectrum (OTCBVS09), in
conjunction with CVPR09, Miami, Florida, 2009.
- V. Venkataraman, X. Fan and G. Fan, "Integrated
Target Tracking and Recognition using Joint Appearance-Motion
Generative Models", in Proc. of 5th IEEE International
Workshop on Object Tracking and Classification in and Beyond
Visible Spectrum (OTCBVS08), in conjunction with CVPR08,
Anchorage, Alaska, 2008.
- Y. Zhai, M. Yeary, J. Havlicek, and G. Fan, "A
New Centralized Sensor Fusion Tracking Methodology based on
Particle Filtering for Power-aware Systems,"
IEEE Trans. Instrumentation and Measurement,
Vol. 57, No. 10, pp2377-2387, Oct, 2008.
- X. Fan and G. Fan, "Generative
Graphical Models for Maneuvering Objective Tracking and Dynamic
Analysis", in Proc. of 4th IEEE International Workshop on
Object Tracking and Classification in and Beyond Visible Spectrum
(OTCBVS07), in conjunction with CVPR07, June 22, 2007.
- V.
Venkataraman, G. Fan and X. Fan, "Target
Tracking with Online Feature Selection in FLIR Imagery", in
Proc. of 4th IEEE International Workshop on Object Tracking and
Classification in and Beyond Visible Spectrum (OTCBVS07), in
conjunction with CVPR07, June 22, 2007.
- G. Fan, V. Venkataraman, L. Tang, and J.
Havlicek, "On Boosted and Adaptive Particle Filters for
Affine-invariant Target Detection and Tracking", (book chapter)
Lecture Note in Computer Science (LNCS), R. I. Hammoud and J. W.
Davis (Editors), Springer-Verlag, 2007 (to appear).
- G. Fan, V. Venkataraman,
L. Tang,
J. P. Havlicek, "A
Comparative Study of Boosted and Adaptive Particle Filters for
Affine-Invariant Target Detection and Tracking", in the Proc.
of 3rd Joint IEEE International Workshop on Object Tracking and
Classification in and Beyond the Visible Spectrum (OTCBVS'06) in
conjunction with CVPR2006, New York City, June 22, 2006.
- J. P. Havlicek, C. T. Nguyen, G. Fan, and V.
Venkataraman, "Integration of a Dual-band IR Data Acquisition
System using Low-coast PV320 Camera", in Proc. SPIE Vol. 6206,
Defense and Security Symposium, Infrared Technology and
Applications XXXII, Orlando, FL, April 17-21, 2006.
- L.
Tang, V. Venkataraman, and G, Fan, "Multi-aspect
Target Tracking in Image Sequences Using Particle Filters", in
Lecture Notes in Computer Science, Vol. 3804, Springer, also the
Proc. of International Symposium on Visual Computing, Lake Tahoe,
Nevada, Dec. 5-7, 2005.
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Segmentation
and recognition
- G. Fan, X. Fan,
V. Venkataraman, and Joseph Havlicek, "Vehicle tracking and
recognition" (book chapter), Intelligent Video Surveillance:
Systems and Technology (ISBN: 978-1-4398-1328-7), Taylor &
Francis Group, 2010.
- X. Fan and G. Fan, "Graphical
Models for Joint Segmentation and Recognition of License Plate
Characters", IEEE Signal Processing
Letters, Vol. 16, No. 1, pp10-13, Jan. 2009.
- C. Tian, G. Fan, and X. Gao, "Multi-view Face
Recognition via Non-linear Tensor Decomposition", in Proc.
International Conference on Pattern Recognition, Tampa, Florida,
Dec. 2008.
-
S. Jiang, K. Shuang, G. Fan, C. Tian, and Y. Wang, "Multiview
Face Recognition based on Manifold Learning and Multilinear Analysis", in
Proc. IEEE International Conference on Signal Processing, Oct. 26-29, 2008,
Beijing, China.
- X. Fan and G. Fan, "Joint Segmentation and
Recognition of License Plate Characters", in Proc. of IEEE
International Conference on Image Processing (ICIP), San Antonio,
TX, Sept. 2007.
- C. Chen and G. Fan, "Hybrid
Body Representation for Integrated Pose Recognition, Localization and
Segmentation", in Proc. IEEE International Conference on
Computer Vision and Pattern Recognition (CVPR 2008), Anchorage,
Alaska, 2008.
- C. Cheng and G. Fan, "What can we learn from biological vision studies for human motion segmentation?", in the
Proc. of International Symposium on Visual Computing, Lake Tahoe, Nevada, Nov.
6-8, 2006.
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Human
motion estimation
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Sports
video mining
- G. Fan and Y. Ding, "Statistical Machine Learning
Approaches for Sports Video Mining using Hidden Markov Models" (book
chapter), Handbook of Research on Machine Learning Applications (ISBN10:
1605667668), IGI
Global, 2009.
- Y. Ding and G. Fan, "Multi-channel
Segmental Hidden Markov Models for Sports Video Mining", in Proc.
ACM Multimedia Conference, Oct. 27-Nov. 1 , 2008, Vancouver, Canada.
- Y. Ding and G. Fan, "Segmental Hidden
Markov Models for View-based Sport Video Analysis", in Proc. of
International Workshop on Semantic Learning Applications in Multimedia
(SLAM07), in conjunction with CVPR07, Minneapolis, MN, June 22, 2007.
- Y. Ding and G. Fan, "Two-layer
Generative Models for Video Mining", in Proc. of IEEE International
Conference on Multimedia and Expo (ICME), Beijing, China, July 2007.
- Y. Ding and G. Fan, “Camera View Based
American Football Video Analysis”, in IEEE Proc. International Symposium
on Multimedia, San Diego, CA, Dec. 11-13.
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Video
segmentation
- X. Song and G. Fan, "Selecting
Salient Frames for Spatiotemporal Video Modeling and Segmentation",
IEEE Trans. Image Processing, Vol. 16, No. 12, Dec. 2007.
- X. Song and G. Fan, "Joint Key-frame
Extraction and Object Segmentation for Content-based Video
Analysis", IEEE Trans. Circuits and Systems for Video
Technology,
Vol. 16, No. 7, pp904- 914, July 2006.
- X. Song and G. Fan, "A
New Video Analysis Approach for Coherent Key-frame Extraction and Object
Segmentation", in Proc. of the IEEE International Workshop
on Multimedia Signal Processing, Shanghai, China, Oct. 30-Nov. 2,
2005.
- C. Chen and G. Fan, "Perception
Principles Guided Video Segmentation", in Proc. of the IEEE
International Workshop on Multimedia Signal Processing, Shanghai,
China, Oct. 30-Nov. 2, 2005.
- X. Song and G. Fan, "Key-frame Extraction
for Object-based Video Segmentation", in Proc. of the IEEE International Conference
on Acoustics, Speech and Signal Processing (ICASSP2005), Philadelphia,
PA, March 2005.
- X. Song and G. Fan, "Joint
Key-frame Extraction and Object-based Video Segmentation", in
Proc. of IEEE Workshop on Motion and Video Computing (MOTION
2005), Breckenridge, Colorado, Jan. 5-6, 2005.
- L. Liu and G. Fan, "Combined
Key-frame Extraction and Object-based Video Segmentation", IEEE Trans. Circuits and
System for Video Technology, July, 2005.
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Image
segmentation
- X. Song and G. Fan, "On Capturing
Likelihood Disparity for Unsupervised Image Segmentation", in Proc. IEEE
Statistical Signal Processing Workshop, St. Louis, MO, September 2003.
- X. Song and G. Fan, "Unsupervised
Bayesian Image Segmentation using Wavelet-domain Hidden Markov Models", in
Proc. IEEE International Conference on Image Processing, Barcelona, Span,
September 2003.
- X. Song and G. Fan, "Unsupervised
Image Segmentation using Wavelet-domain Hidden Markov Models", in Proc.
SPIE Wavelet X, Volume 5207, San Diego, CA, August 2003.
- L. Liu, Y. Dong, X. Song, and G.
Fan, "A Entropy-based Segmentation Algorithm for Computer-Generated
Document Images", in Proc. IEEE International Conference on Image
Processing, Barcelona, Span, September 2003.
- Y. Dong, L. Liu, X. Song, and G.
Fan, "A New Simplified Quantization Rate-Distortion Model for Fast
Document Image Segmentation", in Proc. of the 45th IEEE International
Midwest Symposium on Circuits and Systems, Tulsa, OK, Aug. 2002.
- X. Song and G. Fan, "A Study of
Supervised, Semi-Supervised and Unsupervised Multiscale Bayesian Image
Segmentation", in Proc. of the 45th IEEE International Midwest Symposium
on Circuits and Systems, Tulsa, OK, Aug. 2002.
- G. Fan and X. Song, "A Study of
Contextual Modeling and Texture Characterization for Multiscale Bayesian
Segmentation", in Proc. of the IEEE International Conference on Image
Processing (ICIP2002), Rochester, NY, Sept. 2002.
- G. Fan and X.-G. Xia, "On
Context-Based Bayesian Image Segmentation: Joint Multi-context and
Multiscale Approach and Wavelet-Domain Hidden Markov Models", in Proc. of
the 35th Asilomar Conference on Signals, Systems, and Computers, Pacific
Grove, CA, Nov. 4-7, 2001 (Invited paper).
- G. Fan and X.-G. Xia, "A Joint
Multi-context and Multiscale Approach to Bayesian Image Segmentation",
IEEE Tran. on Geoscience and Remote Sensing, Vol 39, No. 12, pp2680 -2688,
Dec. 2001.
- G. Fan and X.-G. Xia, "Multiscale
Texture Segmentation Using Hybrid Contextual Labeling Tree", in Proc. of
the IEEE International Conference on Image Processing (ICIP2000),
Vancouver, Canada, Sept. 2000.
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Statistical image modeling
- G. Fan and X.-G. Xia, "Statistical Image
Modeling and Processing Using Wavelet-Domain Hidden Markov
Models", (book chapter) Nonlinear Signal and Image Processing:
Theory, Methods, and Applications, K. E. Barner and G. R. Arce
(Editors), CRC Press, 2003.
- G. Fan and X.-G. Xia, "Wavelet-based Texture
Analysis and Synthesis Using Hidden Markov Models", IEEE Trans.
Circuits and Systems, Part I, Vol. 50, No. 1, pp106-120, Jan. 2003
(corrections).
- G. Fan, "Wavelet-Domain Statistical Image
Modeling and Processing", Ph.D. dissertation, University of
Delaware, Summer 2001.
- G. Fan and X.-G. Xia, "Image Denoising Using
Local Contextual Hidden Markov Model in the Wavelet Domain", IEEE
Signal Processing Letter, Vol. 8, No. 5, May 2001, pp125-128.
- G. Fan and X.-G. Xia, "Improved Hidden Markov
Models in the Wavelet-Domain", IEEE Trans. on Signal Processing,
Vol. 49, No. 1 Jan. 2001, pp115-120.
- G. Fan and X.-G. Xia, "Wavelet-Based
Statistical Image Processing Using Hidden Markov Tree Model", in
Proc. of the 2000 Conference on Information Science and Systems
(CISS2000), Princeton, NJ, March, 2000, ppTA5-31-TA-5-36.
- G. Fan and X.-G. Xia, "Wavelet-Based Image
Denoising Using Hidden Markov Models", in Proc. of the IEEE
International Conference on Image Processing (ICIP2000),
Vancouver, Canada, Sept. 2000.
- G. Fan and X.-G. Xia, "Texture Analysis and
Synthesis Using Wavelet-Domain Hidden Markov Models", in Proc. of
the 5th IEEE-EURASIP Workshop on Nonlinear Signal and Image
Processing, Baltimore, MD, June 2001.
- G. Fan and X.-G. Xia, "Maximum Likelihood
Texture Analysis and Classification Using Wavelet-Domain Hidden
Markov Models", in Proc. of the 34th Asilomar Conference on
Signals, Systems, and Computers, Pacific Grove, CA, Oct. 29-Nov.
1, 2000.
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Image
Compression
- L. Liu and G. Fan, "A
New JPEG2000 Region-of-Interest Image Coding Method: Partial
Significant Bitplanes Shift", IEEE Signal Processing Letter,
Vol. 10, No. 2, pp35-39, Feb. 2003.
- L. Liu and G. Fan, "A
New Method for JPEG2000 Region-of-Interest Image Coding: Most
Significant Bitplanes Shift", in Proc. of the 45th IEEE
International Midwest Symposium on Circuits and Systems, Tulsa,
OK, Aug. 2002.
- G. Fan and W. K. Cham, "Model-Based
Edge Reconstruction for Low Bit-rate Wavelet Compressed Images",
IEEE Trans. on Circuits and Systems for Video Technology, Vol. 10,
No. 1, 2000, pp120-132.
- G. Fan and W. K. Cham, "Post-processing
of Low Bit-rate Wavelet-based Image Coding Using Multiscale Edge
Characterization", IEEE Trans. on Circuits and Systems for
Video Technology, Vol. 11, No. 12, pp1263 -1272, Dec. 2001.
- G. L. Fan, W. K. Cham and
J. Z. Liu, "Model-Based
Edge Reconstruction for Low Bit-rate Wavelet Image Coding", in
Proc. of the IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP98), Seattle, WA, 1998, p2561-2564.
- G. L. Fan and W. K. Cham,
"Multiscale
Image Reconstruction for Low Bit-Rate Wavelet Image Coding",
in Proc. of the 1998 IEEE International Conference on Image
Processing (ICIP98), Chicago, IL, Oct. 1998, p420-424.
- G. Fan and L. Zhou,
"Visual Entropy -based Classified Bath Fractal Transform for Image
Coding", in Proc. of the IEEE International Conference on Signal
Processing (ICSP1996), Oct., 1996, Beijing, China.
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Retinal
image processing
- T. Chanwimaluang and G.
Fan, "Constrained
Optimization for Retinal Curvature Estimation Using an Affine
Camera" in the Proc. of International Workshop on Beyond
Multiview Geometry: Robust Estimation and Organization of Shapes
from Multiple Cues (BMG07), in conjunction with CVPR2007,
Minneapolis, Minnesota, June 22, 2007.
- T. Chanwimaluang and G.
Fan, "Affine
Camera for 3D Retinal Surface Reconstruction" in the Proc. of
International Symposium on Visual Computing, Lake Tahoe, Nevada,
Nov. 6-8, 2006.
- Xin Zhang and G. Fan, "Retinal
Spot Lesion Detection Using Adaptive Multiscale Morphological
Processing" in the Proc. of International Symposium on Visual
Computing, Lake Tahoe, Nevada, Nov. 6-8, 2006.
- T. Chanwimaluang and G.
Fan, "Retinal
Image Registration for NIH's ETDRS", in Lecture Notes in
Computer Science, Vol. 3804, Springer, also the Proc. of
International Symposium on Visual Computing, Lake Tahoe, Nevada,
Dec. 5-7, 2005.
- T. Chanwimaluang, G. Fan,
and S. Fransen, "Hybrid
Retinal Image Registration", IEEE Trans. on Information
Technology in Biomedicine, Vol. 10, No. 1, pp129-142, Jan. 2006. (demos)
- A. Awawedeh and G. Fan, "Pseudo
Cepstrum for Assessing Stereo Quality of Retinal Images", in
Proc. of the 37th Asilomar Conference on Signals, Systems, and
Computers, Pacific Grove, CA, Nov. 2003.
- T. Chanwimaluang and G.
Fan, "An Efficient Algorithm for Extraction of Anatomical
Structures in Retinal Images", in Proc. IEEE International
Conference on Image Processing, Barcelona, Span, September 2003.
- T. Chanwimaluang and G.
Fan, "An Efficient Blood Vessel Detection Algorithm for Retinal
Images using Local Entropy Thresholding", in Proc. of the 2003
IEEE International Symposium on Circuits and Systems, Bangkok,
Thailand, May 25-28, 2003.
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Remote
sensing analysis
- X. Song, G. Fan and R.
Mahesh, "SVM-based Enhanced One-class Classification for Remotely
Sensed Imagery", IEEE Geoscience and Remote Sensing Letters, April
2008.
- R. Mahesh, G. Fan and J.
Thomas, et. al., "A
Web-based GIS Decision Support System for Managing and Planning
USDA's Conservation Reserve Program (CRP)",
Environmental Modelling and Software, Vol. 22, No. 9, pp1270-1280,
Sept. 2007.
- X. Song and G. Fan, "A
$\nu$-insensitive SVM Approach for Compliance Monitoring of the
Conservation Reserve Program", IEEE Geoscience and Remote
Sensing Letters, April, 2005.
- G. Cherian, X. Song, G.
Fan, and M. Rao, "Application
of Support Vector Machines for Automatic Compliance Monitoring of
the Conservation Reserve Program (CRP) Tracts", in Proc. IEEE
Goescience and Remote Sensing Symposium (IGARSS2004), Alaska,
September 20-24, 2004.
- X. Song and G. Fan, "Automated
CRP Mapping using Non-parametric Machine Learning Approaches",
IEEE Trans. on Geoscience and Remote Sensing, April, 2005.
- X. Song, G. Fan, and M.
Rao, "Machine Learning Approaches for Multisource Geospatial Data
Classification with Application to CRP Mapping in Texas County,
Oklahoma", in Proc. IEEE Workshop on Advances in Techniques for
Analysis of Remotely Sensed Data, NASA Goddard Visitor Center,
Washington DC, October 27/28, 2003.
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