Image analysis – Applications – Target tracking or detecting
Reexamination Certificate
2007-07-03
2007-07-03
Mehta, Bhavesh M (Department: 2624)
Image analysis
Applications
Target tracking or detecting
C382S199000, C348S169000
Reexamination Certificate
active
10646537
ABSTRACT:
A system and method can detect and track targets in a scene of interest. Interframe differencing can be performed on sequential pairs of images of the scene and a Bayesian model analyzer can obtain an interframe difference density function. The interframe difference density function can be partitioned into static and mobile regimes to provide an objective function. A tracking module can construct a level set and geodesic active contours can be determined for the targets. An adaptive control can apply a spatial transformation and level set perturbation to the geodesic contours to oscillate the contours such that the level set can drop to a lower energy level. The expanded contour can be fed back for use in processing subsequent interframe differences. Target motion analysis data, such as bearing and bearing rate data, can be extracted from the geodesic active contours by applying geometric based transformations on the curve's coordinates.
REFERENCES:
patent: 6842638 (2005-01-01), Suri et al.
patent: 2001/0048753 (2001-12-01), Lee et al.
Carolyn L. Phillips, The Level-Set Method, MIT Undergraduate Journal of Mathematics, No. 1, Jun. 1999, pp. 155-164.
Nikos Paragios et al., Geodesic Active Regions for Motion Estimation and Tracking, http://www-sop.inria.fr/robotvis/const/ra/00/SuiviLS/, Updated Mar. 8, 1998, 3 pages.
Nikos Paragios et al., Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects, IEEE Trans. On Pattern Analysis and Machine Intelligence, vol. 22, No. 3, Mar. 2000, pp. 266-280.
Audi Paul Patrick
Bongiovanni Kevin Paul
Fortin Christopher S.
McPhillips Kenneth J.
BBN Technologies Corp.
Fish & Neave IP Group Ropes & Gray LLP
Kim Charles
Mehta Bhavesh M
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