Biography | Publications

Dr. Hoogs recently joined Kitware to develop a program in computer vision. Over the past 15 years, he has supervised and performed research in various areas of computer vision including event, activity and behavior recognition; motion pattern learning and anomaly detection; visual semantics; tracking; learning; image segmentation; object recognition; and content-based retrieval. He has led research projects, sponsored by DARPA, AFRL, the CIA, NGA and corporate funds, that developed advanced prototypes and demonstrations installed at operational facilities.

At GE Global Research (1998-2007), Dr. Hoogs led a team of researchers in video and imagery analysis on projects sponsored by the US Government, Lockheed Martin and NBC Universal. On a recent DARPA project, Predictive Analysis for Naval Deployment Activities, he led the development of algorithms for learning normal behavior and detecting abnormal behavior in commercial maritime shipping. Concurrently, he led long-term research projects in video tracking, activity recognition, image segmentation and change detection for Lockheed Martin. Previously, he developed algorithms to extract visual content from broadcast news video by semantically combining information from the transcript and the video, as part of the Video Analysis and Content Extraction program sponsored by the Advanced Research and Development Activity. He was also the PI for a research effort in wide-area target detection and change detection for DARPA’s Dynamic Database Program.

While pursuing his Ph.D., he worked full-time at Lockheed Martin Management and Data Systems (1991-1998). As the Chief Scientist on the Research and Development for Image Understanding Systems and Site Monitoring System programs, sponsored by DARPA and CIA, he developed automatic change detection algorithms and systems that were evaluated in operational government facilities and demonstrations.

Dr. Hoogs received his Ph.D. in Computer and Information Science from the University of Pennsylvania in 1998 for research on image segmentation, object representation and learning in computer vision. He received his M.S. from the University of Illinois at Urbana-Champaign in 1991 for research in algebraic object representation and graduated magna cum laude with a B.A. from Amherst College in 1989.

He has published more than 40 papers in computer vision. In 2004 he organized and co-chaired the IEEE Workshop on Perceptual Organization in Computer Vision, and in 2005 he organized and co-chaired the IEEE International Workshop on Semantic Knowledge in Computer Vision. He has served on technical panels for NSF and DARPA, and was a member of the steering committee for IEEE’s Technical Committee on Pattern Analysis and Machine Intelligence in 2005. He regularly serves on program committees for the primary computer vision conferences (ICCV, CVPR, ECCV), and is a reviewer for premier journals in computer vision and artificial intelligence (PAMI, IJCV, CVIU, MVA, TIP, TMM, AIJ).


Selected Publications

A. G. A. Perera, R. Collins, and A. Hoogs. "Evaluation of Compression Schemes for Wide Area Video". Proceedings IEEE Applied Imagery Pattern Recognition Workshop (AIPR). Washington, DC. 14 Oct 2008.

E. Swears, A. Hoogs, and A. G. A. Perera. "Learning Motion Patterns in Surveillance Video using HMM Clustering" . Proceedings of the IEEE Workshop on Motion and Video Computing. Copper Mountain, CO. 9 Jan 2008.

Kobus Barnard, Quanfu Fan, Ranjini Swaminathan, Anthony Hoogs, Roderic Collins, Pascale Rondot and John Kaufhold. Evaluation of Localized Semantics: Data, Methodology and Experiments. International Journal Of Computer Vision, Volume 77, Numbers 1-3 / May, 2008.

Anthony Hoogs and Roderic Collins. Object Boundary Detection in Images using a Semantic Ontology Proceedings of the National Conference on Artificial Intelligence, 2006. AAAI. Also in the Proceedings of the Workshop on Semantic Learning Applications in Multimedia, 2006.

John Kaufhold, Roderic Collins, Anthony Hoogs and Pascale Rondot. Recognition and Segmentation of Scene Content using Region-Based Classification, Proceedings of the 18th International Conference on Pattern Recognition, 2006. IEEE.

Michael T. Chan, Anthony Hoogs, Zhaohui Sun, John Schmiederer, Rahul Bhotika and Gianfranco Doretto. Event Recognition with Fragmented Object Tracks, Proceedings of the 18th International Conference on Pattern Recognition, 2006. IEEE.

M.T. Chan, A. Hoogs, R. Bhotika, A.G.A. Perera, J. Schmiederer and G. Doretto. Joint Recognition of Complex Events and Track Matching, Proceedings of the Conference on Computer Vision and Pattern Recognition, 2006. IEEE.

Z. Sun and A. Hoogs. Image Comparison by Compound Disjointed Information, Proceedings of the Conference on Computer Vision and Pattern Recognition, 2006. IEEE.

A.G.A. Perera, C. Srinivas, A. Hoogs, G. Brooksby and W. Hu. Multi-Object Tracking Through Simultaneous Long Occlusions and Split-Merge Conditions, Proceedings of the Conference on Computer Vision and Pattern Recognition, 2006. IEEE.

A.G.A. Perera, G. Brooksby, A. Hoogs and G. Doretto. Moving Object Segmentation using Scene Understanding, Proceedings of the Workshop on Perceptual Organization in Computer Vision, 2006. IEEE.

A.G.A. Perera, Anthony Hoogs, Chukka Srinivas, Glen Brooksby and Wensheng Hu. Evaluation of Algorithms for Tracking Multiple Objects in Video. Proceedings of the Workshop on Applied Imagery and Pattern Recognition, 2006. IEEE.

R. Kaucic, A.G.A. Perera, G. Brooksby, J. Kaufhold and A. Hoogs. A Unified Framework for Tracking through Occlusions and across Sensor Gaps, Proceedings of the Conference on Computer Vision and Pattern Recognition, IEEE, 2005.

A. Hoogs, M. Chan, R. Bhotika, and J. Schmiederer. Recognizing Complex Behaviors in Aerial Video, Proceedings of the International Conference on Intelligence Analysis, 2005. MITRE Corporation.

M.T. Chan, A. Hoogs, J. Schmiederer and M. Petersen. Detecting rare events in video using semantic primitives with HMM, Proceedings of the 17th International Conference on Pattern Recognition, 2004. Volume 4, Pages 150-154.

A.G.A. Perera and A. Hoogs. Bayesian object-level change detection in grayscale imagery, Proceedings of the 17th International Conference on Pattern Recognition, 2004. Volume 4, Pages 71-75.

J. Kaufhold and A. Hoogs. Learning to segment images using region-based perceptual features, Proceedings of the Conference on Computer Vision and Pattern Recognition, IEEE, 2004. Volume 2, Pages 954-961.

A. Hoogs, J. Rittscher, G. Stein, and J. Schmiederer. Video Content Annotation using Visual Analysis and Large Semantic Knowledgebase, Proceedings of the Conference on Computer Vision and Pattern Recognition, IEEE, 2003.

G. Stein, J. Rittscher and A. Hoogs. Enabling Video Annotation using A Semantic Database Extended with Visual Knowledge, Proceedings of the International Conference on Multimedia and Expo, IEEE, 2003.

J. Rittscher, A. Blake, A. Hoogs, and G. Stein. Mathematical Modeling of Animate and Intentional Motion, Philosophical Transactions of the Royal Society of London: Biological Sciences, 358(1431), pages 475-490. The Royal Society, London, UK. February, 2003.

A. Hoogs, R. Collins, R. Kaucic and J. Mundy. A Common Set of Perceptual Observables for Grouping, Figure-Ground Discrimination and Texture Classification, In IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(4), pages 458-474, April 2003.

A. Hoogs, R. Collins, and R. Kaucic. Classification of 3D Macro Texture Using Perceptual Observables, Proceedings of the International Conference on Pattern Recognition, Vol. 4, pp. 113-117, IEEE, 2002.

A. Hoogs, J. Mundy and G. Cross. Multi-Modal Fusion for Video Understanding, Proceedings of the Workshop on Applied Imagery and Pattern Recognition, IEEE, 2001.

A. Hoogs, R. Kaucic and R. Collins. Using Video for Recovering Texture. In Proceedings of the Workshop on Applied Imagery and Pattern Recognition, IEEE, Oct. 2001.

A. Hoogs and J. Mundy. An Integrated Boundary and Region Approach to Perceptual Grouping, Proceedings of the International Conference on Pattern Recognition, IEEE, 2000.

A. Hoogs and J. Mundy. Rapid Data Reduction and Target Detection in Literal Imagery. Proceedings of the Workshop on Applied Imagery and Pattern Recognition, October 2000. IEEE.

A. Hoogs and J. Mundy. Information Fusion for EO Object Detection and Delineation. Proceedings of the National Symposium on Sensor and Data Fusion. Kelly AFB, TX, June 2000. Infrared Information Analysis Center, Ann Arbor, MI.

A. Hoogs and J. Mundy. Segmentation and geometry: an integrated representation. Proceedings of the Workshop on the Integration of Appearance and Geometric Methods in Object Recognition, June 1999. IEEE.

J. Mundy and A. Hoogs. Data Representations for Object-Level Change Detection in EO/IR Imagery. Proceedings of the National Symposium on Sensor and Data Fusion, Johns Hopkins University Applied Physics Lab, MD, May 1999. Infrared Information Analysis Center, Ann Arbor, MI.

A. Hoogs. Combining Geometric and Appearance Models for Change Detection. Proceedings of the DARPA Image Understanding Workshop, 1997, pp. 565-576. Morgan Kaufmann.

A. Hoogs and R. Bajcsy. Model-Based Learning of Segmentations. Proceedings of the International Conference on Pattern Recognition, Vol. 4, pages 494-499, 1996. IEEE.

A. Hoogs. Analysis of Learning Using Segmentation Models. Proceedings of the Conference on Computer Analysis of Images and Patterns, September 1997. IAPR, Springer-Verlag.

A. Hoogs and R. Bajcsy. Segmentation Modeling. Proceedings of the Conference on Computer Analysis of Images and Patterns, September 1995. IAPR, Springer-Verlag.

A. Hoogs and R. Bajcsy. Using Scene Context to Model Segmentations. Proceedings of the IEEE Workshop on Context-Based Vision, June 1995, pp. 50-61.

A. Hoogs and R. Bajcsy. Segmentation Characterization for Change Detection. Proceedings of the ARPA Image Understanding Workshop, November 1994, pp. 1555-1562. Morgan Kaufmann.

A. Hoogs, D. Hackett and D. Dadd. Image Understanding at Lockheed Martin Management and Data Systems. Proceedings of the DARPA Image Understanding Workshop, Nov. 1998, pp. 703-718. Morgan Kaufmann.

A. Hoogs. Five chapters, in RADIUS: Imagery Understanding for Imagery Intelligence. O. Firschein and T. Strat, Editors. 1997. Morgan Kaufman.

A. Hoogs, B. Bremner, and D. Hackett. The RADIUS Phase II Program. Proceedings of the DARPA Image Understanding Workshop, May 1997, pp. 381-400. Morgan Kaufmann.

A. Hoogs, D. Hackett and T. Barrett. Image Understanding at Lockheed Martin Valley Forge. Proceedings of the DARPA Image Understanding Workshop, May 1997, pp. 455-464. Morgan Kaufmann.

M. Puscar and A. Hoogs. User Interface Representations for Image Understanding. Proceedings of the DARPA Image Understanding Workshop, May 1997, pp. 607-614. Morgan Kaufmann.

R. Cardenas and A. Hoogs. The RADIUS Testbed Database: Temporal Queries and Optimization. Proceedings of the SPIE Workshop on Applied Imagery and Pattern Recognition, October 1996.

A. Hoogs. Pose Adjustment Using a Parameter Hierarchy. Proceedings of the ARPA Image Understanding Workshop, February 1996, pp. 857-865. Morgan Kaufmann.

B. Kniffin and A. Hoogs. Database Support for Exploitation Image Understanding. Proceedings of the ARPA Image Understanding Workshop, February 1996, pp. 421-428. Morgan Kaufmann.

B. Bremner, A. Hoogs and J.Mundy. Integration of Image Understanding Exploitation Algorithms in the RADIUS Testbed. Proceedings of the ARPA Image Understanding Workshop, February 1996, pp. 255-268. Morgan Kaufmann.

A. Hoogs. Object Position Refinement Using Hierarchical Search. Proceedings of the SPIE Workshop on Applied Imagery and Pattern Recognition, October 1995, pp. 152-162.

B. Kniffin and A. Hoogs. Combining Database Support for Image Understanding and Model-Supported Exploitation. Proceedings of the SPIE Workshop on Applied Imagery and Pattern Recognition, October 1995, pp. 146-152.

A. Hoogs and B. Kniffin. The RADIUS Testbed Database: Issues and Design. Proceedings of the ARPA Image Understanding Workshop, November 1994, pp. 269-276. Morgan Kaufmann.

A. Hoogs and D. Hackett. Model-Supported Exploitation as a Framework for Image Understanding. Proceedings of the ARPA Image Understanding Workshop, Monterey, CA, November 1994, pp. 265-268. Morgan Kaufmann.

J. Mundy, R. Welty, L. Quam, T. Strat, W. Bremner, M. Horwedel, D. Hackett, and A. Hoogs. The RADIUS Common Development Environment. Proceedings of the DARPA Image Understanding Workshop, January, 1992. Morgan Kaufmann.

J. Ponce, A. Hoogs, and D. Kriegman. On Using CAD Models to Compute the Pose of Curved 3D Objects. CVGIP: Image Understanding, 55(2), 184-197, 1992.

J. Ponce, A. Hoogs, and D. Kriegman. On Using CAD Models to Compute the Pose of Curved 3D Objects. Proceedings of the IEEE Workshop on Directions in Automated CAD-Based Vision, 1991.