Before surveillance cameras became commonplace, IPRD Group’s team members had already developed advanced motion detection algorithms for US Government applications that were suited for mass deployment. After September 2001, this technology was re-focused on both the civilian and Government surveillance marketplace. Advanced scene analysis algorithms were developed and deployed worldwide, in addition to advanced 3D visualization technologies used to improve situational awareness, resulting in transition of the technology to a major defense contractor and a $326m US government contract, the largest video surveillance contract ever awarded by the US Government.
Glen Francisco, Jennifer Tillman, Keith Hanna, Jeff Heubusch, Robert Ayers, “Integrated homeland security system with passive thermal imaging and advanced video analytics”,
Proc. SPIE 6542, Infrared Technology and Applications XXXIII, 8th June 2007
Glen Francisco, Keith Hanna, Jeff Heubusch, Sharon Roberts, “Critical Infrastructure Security Confidence through Automated Thermal Imaging”, Proc. SPIE Defense and Security Symposium, 17-21 April 2006, Orlando, FL, USA
Wen-yi Zhao, Keith Hanna, Dave Schreder, “The application of computer vision to shipboard damage control”, ASNE Reconfiguration and Survivability Symposium 2005, Center for Advanced Power Systems, Florida State University, Tallahassee, FL
R. Kumar, H. Sawhney, S. Samarasekera, S. Hsu, H. Tao, Y. Guo, K. Hanna, A. Pose, R. Wildes, D. Hirvonen, M. Hansen, P. Burt, "Aerial Video Surveillance and Exploitation," Proceedings of the IEEE, Special Issue on Third Generation Surveillance Systems, 89(10):1518-1539, Oct. 2001.
US 8,289,390: Method and apparatus for total situational awareness and monitoring
US 8,063,936: Modular immersive surveillance processing system and method
US 7,949,295: Automated trainee monitoring and performance evaluation system
US 7,639,840: Method and apparatus for improved video surveillance through classification of detected objects
US 7,633,520: Method and apparatus for providing a scalable multi-camera distributed video processing and visualization surveillance system
US 7,522,186: Method and apparatus for providing immersive surveillance
US 7,385,626: Method and system for performing surveillance
US 7,382,898: Method and apparatus for detecting left objects
US 6,681,058: Method and apparatus for estimating feature values in a region of a sequence of images
IPRD Group’s team is highly experienced in developing and deploying biometric technologies for large-scale applications. Dr. Hanna, CEO of IPRDGroup, is the co-founder of Sensar, the world's first company to focus on the application of unobtrusive biometrics, resulting in numerous large-scale deployments including biometric iris access ATMs. Dr. Hanna is the co-founder of SRI Sarnoff’s Iris-on-the-Move program with the resulting technology being commercialized by Samsung for mobile devices. Dr. Hanna is also the co-founder of EyeLock Corporation, developed the majority of the intellectual property and core technologies behind EyeLock's products, and deployed systems worldwide including those that enabled the world's first iris-access skyscraper at Bank of America headquarters.
Dr. Hanna is the recipient of the Most Influential Paper over the Decade Award, 2007, from the International Association of Pattern Recognition, for his pioneering work in iris recognition.
J.R. Matey, O.Naroditsky, K.Hanna, R.Kolczynski, D.J.LoIacono, S.Mangru, M.Tinker, T.M.Zappia, W.Y.Zhao, “Iris on the Move: Acquisition of Images for Iris Recognition in Less Constrained Environments”, in Proc IEEE Col. 94(11), 2006, pp 1936-1947
Craig L. Fancourt, Luca Bogoni, Keith J. Hanna, Yanlin Guo, Richard P. Wildes, Naomi Takahashi, Uday Jain, “Iris Recognition at a Distance”, 5th International Conference AVBPA 2005, Hilton Rye Town, NY, USA, July 20-22, 2005, Proceedings. Lecture Notes in Computer Science 3546 Springer 2005, ISBN 3-540-27887-7
K. Hanna, R. Mandelbaum, D. Mishra, V. Paragano, L. Wixson, "A System for Non-Intrusive Human Iris Acquisition and Identification", Proceedings of the International Association for Pattern Recognition Workshop on Machine Vision Applications, Tokyo, November 1996.
US 9,355,299: Fraud resistant biometric financial transaction system and method
US 9,311,536: Systems and methods for capturing artifact free images
US 9,280,706: Efficient method and system for the acquisition of scene imagery and iris imagery using a single sensor
US 9,192,297: System and method for iris data acquisition for biometric identification
US 9,142,070: Ensuring the provenance of passengers at a transportation facility
US 9,124,798: Systems and methods for illuminating an iris with visible light for biometric acquisition
US 9,122,925: Systems and methods for capturing artifact free images
US 9,117,119: Mobile Identity Platform
US 9,095,287: System and method for iris data acquisition for biometric identification
US 9,055,198: Mirror system and method for acquiring biometric data
US 9,036,871: Mobility identity platform
US 9,002,073: Mobile identity platform
US 8,965,064: Systems and methods for capturing artifact free images
US 8,965,063: Compact biometric acquisition system and method
US 8,958,606: Mirror system and method for acquiring biometric data
US 8,953,849: Method and system for biometric recognition
US 8,818,053: Methods for performing biometric recognition of a human eye and corroboration of same
US 8,818,052: Fraud resistant biometric financial transaction system and method
US 8,818,051: Fraud resistant biometric financial transaction system and method
US 8,798,334: Methods for performing biometric recognition of a human eye and corroboration of same
US 8,798,333: Methods for performing biometric recognition of a human eye and corroboration of same
US 8,798,331: Methods for performing biometric recognition of a human eye and corroboration of same
US 8,798,330: Methods for performing biometric recognition of a human eye and corroboration of same
US 8,604,901: Ensuring the provenance of passengers at a transportation facility
US 8,553,948: System and method for iris data acquisition for biometric identification
US 8,364,646: Scalable searching of biometric databases using dynamic selection of data subsets
US 8,306,279: Operator interface for face and iris recognition devices
US 8,280,120: Fraud resistant biometric financial transaction system and method
US 8,260,008: Methods for performing biometric recognition of a human eye and corroboration of same
US 8,212,870: Mirror system and method for acquiring biometric data
US 8,195,044: Biometric camera mount system
US 7,801,335: Apparatus and methods for detecting the presence of a human eye
US 6,714,665: Fully automated iris recognition system utilizing wide and narrow fields of view
US 6,088,470: Method and apparatus for removal of bright or dark spots by the fusion of multiple images
US 6,055,322: Method and apparatus for illuminating and imaging eyes through eyeglasses using multiple sources of illumination
US 5,751,836: Automated, non-invasive iris recognition system and method
US 5,572,596: Automated, non-invasive iris recognition system and method
Multi-Media for Surveillance, Broadcast Television, and ADAS
IPRD Group’s team is highly experienced in developing and deploying technologies for multi-media applications relating to virtual reality, surveillance, broadcast television, and ADAS. Example applications include: the merging of video with 3D models for virtual reality and situational awareness applications including deployments from a $326M US Government contract, and the Emmy-award-winning vision system now deployed globally for embedding graphics within televised sports events including the yellow first-down-line in American football.
H.S. Sawhney, A. Arpa, R. Kumar, S. Samarasekera, M. Aggarwal, S. Hsu, D. Nister, K. Hanna. "Video Flashlights -- Real Time Rendering of Multiple Videos for Immersive Model Visualization," Proc. Eurographics Workshop on Rendering, June 2002.
Keith J. Hanna, Harpreet S. Sawhney, Rakesh Kumar, Yanlin Guo, Supun Samarasekera: Annotation of Video by Alignment to Reference Imagery. ICMCS, Vol. 1 1999: 38-43
J. Asmuth, D. Dixon, K. Hanna, S. C. Hsu, R. Kumar, V. Paragano, A. Pope, S. Samarasekera, H. Sawhney, ”Multimedia Applications of Computer Vision” October, 1998 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV’98)
R. Kumar, P. Anandan, J. Bergen, M. Irani and K.Hanna, “Representation of Scenes as a Collection of Images”, Proceedings IEEE Workshop on Visual Representation of Scenes, Cambridge, MA, May 1995.
P.J. Burt, K.J. Hanna, R.J. Kolczynski, “Enhanced Image Capture Through Fusion”, In Proceedings of the Workshop on Augmented Visual Display Research, pages 207–224. NASA – Ames Research Center., Dec. 1993.
US 7,929,017: Method and apparatus for stereo, multi-camera tracking and RF and video track fusion
US 7,260,274: Techniques and systems for developing high-resolution imagery
US 7,242,460: Method and apparatus for automatic registration and visualization of occluded targets
using ladar data
US 7,085,409: Method and apparatus for synthesizing new video and/or still imagery from a collection of real video and/or still imagery
US 7,020,351: Method and apparatus for enhancing and indexing video and audio signals
US 6,907,073: Tweening-based codec for scaleable encoders and decoders with varying motion computation capability
US 6,522,787: Method and system for rendering and combining images to form a synthesized view of a scene containing image information from a second image
US 6,490,364: Apparatus for enhancing images using flow estimation
US 6,430,304: Method and apparatus for processing images to compute image flow information
US 6,269,175: Method and apparatus for enhancing regions of aligned images using flow estimation
US 5,963,664: Method and system for image combination using a parallax-based technique
US 5,923,791: Video merging employing pattern-key insertion
US 5,581,629: Method for estimating the location of an image target region from tracked multiple image landmark regions
US 5,566,251: Video merging employing pattern-key insertion
US 5,488,675: Stabilizing estimate of location of target region inferred from tracked multiple landmark regions of a video image
Autonomous Navigation and Mapping for ADAS and Drones
Advanced Driver Assistance Systems (ADAS) are on a path to ubiquity. Industry analysts and IPRD Group, with a team highly experienced in the worldwide deployment of vehicle detection and traffic monitoring systems, as well as the development of fundamental ADAS algorithms with leaders in the ADAS field (1), believe that 49% of the growth in ADAS systems over the next 10 years will come from systems that operate in more challenging and diverse driving conditions. Similarly, aerial drones are becoming ubiquitous. The Federal Aviation Authority (FAA) and IPRD Group, highly experienced in developing and deploying systems for aerial drone navigation and mapping, believe that drone usage will increase exponentially as a result of recent changes in FAA regulations. In 1998 IPRD Group’s team members developed and deployed one of the first Unmanned Aerial Vehicle (UAV) mapping systems to be used extensively worldwide.
(1) Dr. Amnon Shashua is a computer science professor at the Hebrew University in Jerusalem as well as Co-founder and CTO of Mobileye, the world’s leading provider of ADAS systems for the automotive industry. Dr. Keith Hanna, CEO of IPRD Group, is a pioneer in the development of ADAS obstacle detection algorithms and a leader in the deployment of real-world computer vision systems.
Gelbart, S. Driscoll, J. Freeman, G. J. Fetzer, D. Wasson, K. Hanna, W. Yi Zhao, “Signal processing, image registration, and visualization of FLASH lidar data” Laser Radar Technology and Applications VIII, G. W. Kammerman, Editor, Proc. SPIE Vol. 5086, 197-208, 2003.
R. Kumar, H. Sawhney, S. Samarasekera, S. Hsu, H. Tao, Y. Guo, K. Hanna, A. Pose, R. Wildes, D. Hirvonen, M. Hansen, P. Burt "Aerial Video Surveillance and Exploitation," Proceedings of the IEEE, Special Issue on Third Generation Surveillance Systems, 89(10):1518-1539, Oct. 2001.
R. Kumar, S. Samarasekera, S. Hsu, K. Hanna, "Registration of Highly-Oblique and Zoomed In Aerial Video to Reference Imagery." ICPR 00, Barcelona, Sept. 2000.
L Wixson, K. Hanna, D. Mishra. Improved Illumination Assessment for Vision-Based Traffic Monitoring Proceedings of the 1998 IEEE Workshop on Visual Surveillance. January 1998.
R. Kumar, P. Anandan, and K.J. Hanna, "Direct recovery of shape from multiple views: a parallax based approach," Proceedings of the 12th IAPR International Conference on Pattern Recognition, vol. 1, pp. 685--688, 1994.
P. Burt, P. Anandan, K. Hanna, G. van der Wal, and R. Bassman. “A front-end vision processor for vehicle navigation.” In IAS-3, pages 653--662, Pittsburgh, PA, 1993.
K. J. Hanna and Neil E. Okamoto, "Combining stereo and motion analysis for direct estimation of scene structure," In Proc. Intl. Conf. on Computer Vision, pages 357-265, 1993.
Burt, Peter J.; Anandan, P.; Hanna, Keith. “Electronic front-end processor for active vision” (David Sarnoff Research Ctr.). Proc. SPIE Vol. 1825, p. 769-780, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, David P. Casasent; Ed. 11/1992. SPIE.
J.R. Bergen, P. Anandan, K. Hanna, R. Hingorani, "Hierarchical model-based motion estimation," In Proc. 2nd European Conference on Computer Vision, pages 237-252, 1992.
K. J. Hanna, "Direct Multi-resolution estimation of ego-motion and structure from motion" In Proc. IEEE Workshop. on Visual Motion, Pages 156-162, 1991.
J.R. Bergen, P.J. Burt, K. Hanna, R. Hingoram, P. Jeanne, and S. Peleg. ”Dynamic multiple-motion computation” In Y.A. Feldman and A. Bruckstein, editors, Artificial Intelligence and Computer Vision: Proceedings of the Israeli Conference, pages 147 156. Elsevier, 1991.
US 7,363,157: Method and apparatus for performing wide area terrain mapping
US 7,313,252: Method and system for improving video metadata through the use of frame-to-frame correspondences
US 7,259,778: Method and apparatus for placing sensors using 3D models
US 6,597,818: Method and apparatus for performing geo-spatial registration of imagery
US 6,571,024: Method and apparatus for multi-view three dimensional estimation
US 5,629,988: System and method for electronic image stabilization
US 5,259,040: Method for determining sensor motion and scene structure and image processing system thereof
IPRD Group’s founder, Dr. Hanna, spent 2 years working with clinicians and patients at the Nuffield Laboratory of Ophthalmology in Oxford, UK, developing and deploying algorithms for tracking cataract in the human eye to measure the effectiveness of drug treatment. He also developed and deployed advanced algorithms for aligning CAT and MRI imagery to enable information from each modality to be combined for more effective diagnosis and tracking of breast cancer.
R. Kumar, J. C. Asmuth, K. J. Hanna, J. R. Bergen, D. B. Kopans, C. Hulka, R. H. Moore, "Application of 3D Registration for Detecting Lesions in Magnetic Resonance Breast Scans," SPIE-Medical Imaging, Newport Beach, CA, 1996.
Harris ML, Hanna KJ, Shun-Shin GA, Holden R, Brown NA. Eye. 1993;7 ( Pt 4):572-7. Analysis of retro-illumination photographs for use in longitudinal studies of cataract.
Simpson A. J., Lee S., Hanna K. J. and Bron A. J. (1990). A method for measuring neuroretinal rim area. Australian And New Zealand Journal Of Ophthalmology. 18, 207-210.
Keith J. Hanna, L. Tarassenko: Tracking cataract by the four-line method. Image Vision Comput. 7(1): 57-62 (1989)