Ray Rimey

Projects

This page provides some more detail about many of my research projects plus some pictures. Click on a picture for its full-size version.

Activity Understanding, LMC, 2004-present.

This project is exploring new concepts for modeling, learning, recognizing and understanding activities observed by persistent surveillance sensors and by people.

Related Publications:

R.D. Rimey, W. Hoff, J.Y. Lee, "Recognizing Wide-Area and Process-Type Activities," Proceedings: International Conference on Information Fusion, 2007. PDF
J.Y. Lee, W. Hoff, "Activity Identification Utilizing Data Mining Techniques," Proceedings: IEEE Workshop on Motion and Video Computing (WMVC), 2007. PDF
R.J. Parker, W.A. Hoff, A. Norton, J.Y. Lee, M.D. Colagrosso, "Activity Identification and Visualization," Proceedings: Fifth International Workshop on Pattern Recognition in Information Systems (PRIS), 2005, pages 124-133. PDF

Analytic Landscape Tool, LMC, 2002-2004.

The Analytic Landscape (Anlan) tool examined analysis tasks involving a large amount and variety of visual work materials, techniques for externalizing analysis tasks on a ZUI canvas, and the benefits of the resulting new analysis environment. Anlan was built on Professor Ben Bederson's Piccolo toolkit for zoomable graphics (the successor to the Pad++ and Jazz toolkits).

Related Publications:

Narrated Video Demos of Anlan. Video #1, Video #2
R.D. Rimey, D.S. Bolme, "Re-Using Millions of Visualizations," Visualization and Data Analysis, Proceedings SPIE-IS&T Electronic Imaging, Volume 6495, 2007. Paper, Slides

Salsa, LMC, 2002-2003.

The Salsa tool used the zoomable user interface (ZUI) and lens concepts originally developed in the INIMEX prototype and extended them to show off new concepts for multi-INT fusion and analysis. Salsa was built on Professor Ben Bederson's Jazz toolkit for zoomable graphics (succeeded by the Piccolo toolkit).

Lens Applications, LMC, 1997-2004.

We developed a variety of intelligence analysis applications for lenses as a spin-off of the original INIMEX project. We developed lenses in numerous tools: INIMEX (Pad++, Jazz), Salsa (Jazz), Anlan (Piccolo), OpenMap, JLoox, WebELT, Swing.

Related Publications:

Here are some examples of lenses we have used in our applications. Most of these are from our last prototype, Anlan.

Interactive Image Exploitation (INIMEX), LMC, 1997-2001

The INIMEX project created prototypes of a futuristic image analysis workstation that emphasized zoomable user interface (ZUI) and lens concepts. INIMEX was built on Professor Ben Bederson's Pad++ and Jazz toolkits for zoomable graphics (succeeded by the Piccolo toolkit).

Related Publications:

R.D. Rimey, R. Withman, "Interactive Image Exploitation," Proceedings: National Fire Control Symposium, 1999. PDF
R.D. Rimey, W.N. Klarquist, and C.H. Debrunner, "Design of Zoomable User Interfaces and Lens Tools for Intelligence Analysis," 27^th AIPR Workshop: Advances in Computer-Assisted Recognition, Proceedings SPIE, Volume 3584, 1998, pages 17-28. PDF

Intelligent Mobile Sensor System (IMSS), LMC, 1995-1997

The IMSS project developed a fully-autonomous indoor mobile robot system that drives around and inspects 55-gallon drums stored in warehouses. The project culminated with two month-long field tests inside warehouses containing drums of low-level radioactive and hazardous waste at the DOE Fernand and INEEL locations.

Related Publications:

DOE Fact Sheet on IMSS. PDF
E. Byler, W. Chun, W. Hoff, D. Layne, "Autonomous Hazardous-Waste Drum Inspection Vehicle," Robotics and Automation Magazine, 2(1):6-17, March 1995. PDF
E.A. Byler, "Navigation, Behaviors, and Control Modes in an Autonomous Vehicle," Mobile Robots IX, Proceedings SPIE, Volume 2352, 1995, pages 106-115. PDF

Unmanned Ground Vehicle / Demo II, LMC, 1993-1997

The UGV / Demo II program, begun in 1992, developed and matured those navigation and automatic target recognition technologies critical for the development of supervised, autonomous ground vehicles capable of performing military scout missions with a minimum of human over-sight. The program culminated with a highly successful series of field exercises performed by soldiers at Ft. Hood, Texas over three weeks in May/June 1996. Many of the people who worked on this project are now at Perceptek Robotics.

Related Publications:

In Reconnaissance, Surveillance, and Target Acquisition for the Unmanned Ground Vehicle: Providing Surveillance 'Eyes' for an Autonomous Vehicle, O. Firschein, T.M. Strat, eds., Morgan Kaufman, 1997:

J.R. Spofford, R.D. Rimey, S.H. Munkeby, "Overview of the UGV / Demo II Program," pages 21-40. PDF
J.R. Spofford, R.D. Rimey, "Description of the UGV / Demo II System," pages 41-50. PDF Also in Proceedings: Association for Unmanned Vehicle Systems International Conference, 1997, pages 255-264.
J.R. Spofford, S.H. Munkeby, R.D. Rimey, "The Annual Demonstrations of the UGV / Demo II Program," pages 51-91. PDF
D.R. Hougen, R.D. Rimey, W.E. Severson, "Description of the RSTA Subsystem," pages 145-155. PDF
R.D. Rimey, S.J. Hennessy, D.R. Hougen, "Experiences Building the Integrated RSTA System," pages 157-169. PDF

S.H. Munkeby, R.D. Rimey, J.R. Spofford, "Unmanned Ground Vehicle / Combat Asset Deployment and Retrieval," Proceedings: Conference on Technology Assessment for Unmanned Ground Vehicles, IDA Document D-1817, 1995, pages 505-520. PDF
W.E. Severson, R.D. Rimey, "Reconnaissance, Surveillance, and Target Acquisition in the UGV / Demo II Program," Proceedings: Fourth ATR Systems and Technology Symposium, Volume I - Unclassified, 1994, pages 129-142. PDF

Control of Selective Perception (PhD thesis), Computer Science Department, University of Rochester, 1990-1993

My PhD thesis developed methods for selecting a sequence of camera viewpoints and selecting algorithms to process the acquired images in order to answer a question about a scene. My advisor was Professor Chris Brown.

Related Publications:

R.D. Rimey, C.M. Brown, "Control of Selective Perception Using Bayes Nets and Decision Theory," International Journal of Computer Vision, 12(2/3):173-207, 1994. PDF
R.D. Rimey, "Control of Selective Perception Using Bayes Nets and Decision Theory," University of Rochester, Department of Computer Science, Ph.D. Thesis, 1993. Available as Technical Report 468, December 1993. PDF
R.D. Rimey, "Studying Control of Selective Perception Using T-world and TEA," Proceedings: IEEE Workshop on Qualitative Vision, 1993, pages 51-60. PDF Similar paper in Proceedings: DARPA Image Understanding Workshop, 1993, pages 575-580.
P.A. von Kaenel, C.M. Brown, R.D. Rimey, "Goal-Oriented Dynamic Vision," University of Rochester, Department of Computer Science, Technical Report 466, August 1993. PDF
R.D. Rimey, "Where to Look Next Using a Bayes Net: An Overview," Proceedings: DARPA Image Understanding Workshop, 1992, pages 927-932. PDF
R.D. Rimey, "Where to Look Next Using a Bayes Net: The TEA-1 System and Future Directions," Working Notes: AAAI Spring Symposium Series, Workshop on Control of Selective Perception, 1992, pages 118-122. PDF
R.D. Rimey, C.M. Brown, "Task-Specific Utilities in a General Bayes Net Vision System," Proceedings: IEEE Conference on Computer Vision and Pattern Recognition, 1992, pages 142-147. PDF
R.D. Rimey, C.M. Brown, "Task-Oriented Vision With Multiple Bayes Nets," Active Vision, A. Blake, A. Yuille, eds., MIT Press, 1992, pages 217-236.
R.D. Rimey, C.M. Brown, "Where to Look Next Using a Bayes Net: Incorporating Geometric Relations," Proceedings: European Conference on Computer Vision, 1992, pages 542-550. PDF
R.D. Rimey, C.M. Brown, "Where to Look Next Using a Bayes Net: Incorporating Geometric Relations," Video Proceedings: European Conference on Computer Vision, 1992, 2 minutes.

Applications of Hidden Markov Models to Computer Vision, Computer Science Department, University of Rochester, 1988-1989

This project examined the use of hidden Markov models for some computer vision problems, including using them to drive the motion sequences of a camera.

Related Publications:

R.D. Rimey, C.M. Brown, "Controlling Eye Movements With Hidden Markov Models," International Journal of Computer Vision, 7(1):47-65, 1991. PDF
R.D. Rimey, C.M. Brown, "Sequences, Structure, and Active Vision," Proceedings: IEEE Conference on Computer Vision and Pattern Recognition, 1991, pages 706-707. PDF
R.D. Rimey, C.M. Brown, "Selective Attention as Sequential Behavior: Modeling Eye Movements With an Augmented Hidden Markov Model," Proceedings: DARPA Image Understanding Workshop, 1990, pages 840-849. PDF

Applications of Neural Networks to Computer Vision, Nestor Inc., 1985-1988

I developed the performance evaluation subsystem of the Nestor Development System product (NDS-1000), a developer toolkit for solving pattern classification problems. I also created demo applications of the NDS to three computer vision applications. Nestor Inc. is still in business (and received an additional $28M investment in May 2006). After selling it's fraud detection business, Nestor now provides video-based monitoring systems and services for traffic management and safety.

Related Publications:

D.L. Reilly, C. Scofield, P.R. Gouin, R. Rimey, E.A. Collins, S. Ghosh, "An Application of a Multiple Neural Network Learning System to Industrial Part Inspection," Proceedings: ISA/88 (Instrument Society of America) International Conference and Exhibit, 1988, pages 1679-1690. PDF
R. Rimey, P. Gouin, C. Scofield, D.L. Reilly, "Real-Time 3-D Object Classification Using a Learning System," Intelligent Robots and Computer Vision V, Proceedings SPIE, Volume 726, 1986, pages 552-557. PDF

Recognizing Models in Range Data (MS thesis), Electrical Engineering Department, University of Rhode Island, 1984-1985

I developed a maximum likelihood approach to segmenting 3D range data and matching 3D object models. My advisor was Professor Fernand Cohen, who is now at Drexel University's Electrical and Computer Engineering Department.

Related Publications:

R. Rimey, F. Cohen, "A Maximum-Likelihood Approach to Segmenting Range Data," IEEE Journal of Robotics and Automation, 4(3):277-286, 1988. Also in Proceedings: IEEE Conference on Robotics and Automation, 1988, pages 1696-1701. PDF
F.S. Cohen, R.D. Rimey, J.P. Cayula, "Segmentation of Three Dimensional Range Data," Proceedings: IEEE International Conference on Acoustics, Speech, and Signal Processing, 1985, pages 925-928. PDF
F.S. Cohen, R.D. Rimey, J. Cayula, "Real-Time 3-D Object Recognition from a Range or Visible Light Image," Computer Vision for Robots, Proceedings SPIE, Volume 595, 1985, pages 2-11. PDF
R.D. Rimey, "Recognition and Location Estimation of 3-D Objects in Range Data," University of Rhode Island, Department of Electrical Engineering, M.S. Thesis, 1985.

Range Sensor, Electrical Engineering Department, University of Rhode Island, 1983

This range sensor hardware and the device driver were built by somebody else. I built the next layer of software that allowed it to actually be used for experiments.

Related Publications:

R. Rimey, I. Urbach, R. Kelley, "The URI Laser Range Finder: Hardware Upgrade and Software Support," University of Rhode Island, Robotics Research Center, Technical Report 39, June 1984.

Extracting Wireframe Building Models from Aerial Images, Carnegie Mellon University, 1982-1983

This was an undergraduate project during my senior year and the summer before. I developed a system that hypothesized matches of a flat-roofed N-sided building model to a line/junction segmentation of an aerial image of an urban area, and used a straight-line Hough transform to find additional predicted, but weaker, building edges in the original image data. My project sponsor was Professor Takeo Kanade.

Related Publications:

R. Rimey, "A Model-based Search to Find Buildings in an Aerial Image," Carnegie Mellon University, Senior Undergraduate Project, Final Report, May 1983. PDF

Last Updated: December 4, 2006