Method and apparatus for machine vision classification and track

Image analysis – Applications – Vehicle or traffic control

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382159, 382199, 348148, 395 21, 395905, G06K 900

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active

054349273

ABSTRACT:
A method and apparatus for classification and tracking objects in three-dimensional space is described. A machine vision system acquires images from roadway scenes and processes the images by analyzing the intensities of edge elements within the image. The system then applies fuzzy set theory to the location and angles of each pixel after the pixel intensities have been characterized by vectors. A neural network interprets the data created by the fuzzy set operators and classifies objects within the roadway scene. The system can also track objects within the roadway scene, such as vehicle, by forecasting potential track regions and then calculating match scores for each potential track region based on how well the edge elements from the target track regions match those from the source region as weighted by the extent the edge elements have moved.

REFERENCES:
patent: 4490851 (1984-12-01), Gerhart et al.
patent: 4709264 (1987-11-01), Tamura et al.
patent: 4839648 (1989-06-01), Beucher et al.
patent: 4847772 (1989-07-01), Michalopoulos et al.
patent: 4942533 (1990-07-01), Kakisami et al.
patent: 5046111 (1991-09-01), Cox et al.
patent: 5103305 (1992-04-01), Watanabe
patent: 5111232 (1992-05-01), Tsunefuji
patent: 5172226 (1992-12-01), Morimura et al.
patent: 5263120 (1993-11-01), Bickel
patent: 5280566 (1994-01-01), Nakamura
patent: 5296852 (1994-03-01), Rathi
Gilbert and Holmes, Dynamic Traffic Information from Remote Video Monitors, Environmental Research Institute of Michigan, Oct. 1991, pp. 213-231.
Zielke, Brauckmann and von Seelen, Intensity and Eagle-Based Symmetry Detection Applied to Car-Following, Lecture Notes in Computer Science, vol. 588, G. Sandini (Ed.), Computer Vision-ECCV '92, Springer-Verlag Berlin Heidelberg 1992, pp. 865-873.
Michalopoulos, Vehicle Detection Video Through Image Processing: The Autoscope System, IEEE Transactions on Vehicular Technology, vol. 40, No. 1, Feb. 1991, pp. 21-29.
Ali and Dagless, University of Bristol, UK, Alternative Practical Methods for Moving Object Detection, International Conference on Image Processing and Its Applications (Conf Publ No. 354), pp. 77-80, 1992.

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