Model-based object classification and target recognition

Details Model-based object classification and target recognition Model-based object classification and target recognition

2011-08-23

2011-08-23

Repko, Jason M (Department: 2624)

Image analysis

Applications

Target tracking or detecting

C382S190000, C382S192000, C382S224000, C382S225000, C382S227000

Reexamination Certificate

active

08005261

ABSTRACT:
Method for at least one of model-based classification and target recognition of an object. The method includes recording an image of an inanimate object, determining a feature that represents a part of the inanimate object, determining at least one condition associated with the feature that indicates an applicability of the feature based on at least one of geometry of the object, distance of the object from a camera, illumination conditions, contrast, speed of the object, height of the object, and relative position of the object to a camera, and carrying out the at least one of classification and target recognition of the object by recording the feature when the at least one condition indicates the applicability of the feature. At least one of object classification and target recognition is carried out for a feature of the object that is visible and recordable according to the position of the object. The recording, the determining the feature, the determining the at least one condition, and the carrying out are implemented on a computer.

REFERENCES:
patent: 4470048 (1984-09-01), Short, III
patent: 5332176 (1994-07-01), Wootton et al.
patent: 5424823 (1995-06-01), Nettles et al.
patent: 5444791 (1995-08-01), Kamada et al.
patent: 5579409 (1996-11-01), Vaidyanathan et al.
patent: 5604820 (1997-02-01), Ono
patent: 5625702 (1997-04-01), Kamada et al.
patent: 5640468 (1997-06-01), Hsu
patent: 5644386 (1997-07-01), Jenkins et al.
patent: 5740274 (1998-04-01), Ono et al.
patent: 5825921 (1998-10-01), Dulong
patent: 5872858 (1999-02-01), Kamada et al.
patent: 5893085 (1999-04-01), Phillips et al.
patent: 5963653 (1999-10-01), McNary et al.
patent: 6151424 (2000-11-01), Hsu
patent: 6404920 (2002-06-01), Hsu
patent: 6512849 (2003-01-01), Yair et al.
patent: 6614917 (2003-09-01), Phillips
patent: 6647139 (2003-11-01), Kunii et al.
patent: 6801661 (2004-10-01), Sotak et al.
patent: 6819782 (2004-11-01), Imagawa et al.
patent: 6850627 (2005-02-01), Phillips
patent: 6937746 (2005-08-01), Schwartz
patent: 7149326 (2006-12-01), Bornowski
patent: 2002/0001398 (2002-01-01), Shimano et al.
patent: 2003/0044072 (2003-03-01), Kaneko et al.
patent: 2003/0138146 (2003-07-01), Johnson et al.
patent: 2005/0157931 (2005-07-01), Delashmit et al.
patent: 2006/0210170 (2006-09-01), Yumoto et al.
patent: 2006/0285755 (2006-12-01), Hager et al.
patent: 19652925 (1998-07-01), None
patent: 19831413 (2000-04-01), None
patent: 10045360 (2002-03-01), None
patent: 0622750 (1994-11-01), None
Morimoto, C.H.; Flickner, M., “Real-time multiple face detection using active illumination,” Automatic Face and Gesture Recognition, 2000. Proceedings. Fourth IEEE International Conference on, vol., No., pp. 8-13, 2000.
English Language Abstract of DE 100 45 360.
English Language Abstract of DE 198 31 413.
English Language Abstract of DE 196 52 925.
F. Dellaert et al., “Model-Based Car Tracking Integrated with a Road-Follower,” Proceedings of the 1998 IEEE International Conference on Robotics & Automation, pp. 1889-1894.
K. Ikeuchi et al., “Applying Sensor Models to Automatic Generation of Object Recognition Programs,” Proceedings of the 2ndInternational Conference on Computer Vision, pp. 228-237, Dec. 1988.
R.C. Luo et al., “A Tutorial on Multisensor Integration and Fusion,” Proceedings of the Annual Conference of the Industrial Electronics Society, pp. 707-722, Nov. 1990.
J. Peterson et al., “Lambda in Motion: Controlling Robots with Haskell,” Proceedings of the International Conference on Practical Aspects of Declarative Languages, pp. 91-105, 1998.
J. Leonard et al., “Dynamic Map Building for an Autonomous Mobile Robot,” IEEE International Workshop on Intelligent Robots and Systems, pp. 89-96, 1990.
D.G. Lowe et al., “Fitting Parameterized Three-Dimensional Models to Images,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 13, No. 5, 1991.
L. Stephan et al., “Portable, Scalable Architecture for Model-Based FLIR ATR and SAR/FLIR Fusion,” Automatic Target Recognition IX, vol. 3718, Aug. 1999.
D. F. Watson, “Computing the n-dimensional Delaunay tessellation with application to Voronoi polytopes,” The Computer J., vol. 24, No. 2, pp. 167-172.
R. M. Haralick, “Pose Estimation from Corresponding Point Data,” IEEE Transactions on Systems, Man and Cybernetics, vol. 19, No. 6, Nov./Dec. 1989.
Canada Office action, mail date is Dec. 22, 2010.

Affiliated with

Also associated with

Rating

Model-based object classification and target recognition does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Model-based object classification and target recognition, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Model-based object classification and target recognition will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-2626786