Image analysis – Pattern recognition – Template matching
Reexamination Certificate
2007-11-27
2007-11-27
Mehta, Bhavesh M (Department: 2624)
Image analysis
Pattern recognition
Template matching
Reexamination Certificate
active
10224709
ABSTRACT:
Detecting video phenomena, such as fire in an aircraft cargo bay, includes receiving a plurality of video images from a plurality of sources, compensating the images to provide enhanced images, extracting features from the enhanced images, and combining the features from the plurality of sources to detect the video phenomena. The plurality of sources may include cameras having a sensitivity of between 400 nm and 1000 nm and/or may include cameras having a sensitivity of between 7 and 14 micrometers. Extracting features may include determining an energy indicator for each of a subset of the plurality of frames. Detecting video phenomena may also include comparing energy indicators for each of the subset of the plurality of frames to a reference frame. The reference frame corresponds to a video frame taken when no fire is present, video frame immediately preceding each of the subset of the plurality of frames, or a video frame immediately preceding a frame that is immediately preceding each of the subset of the plurality of frames.
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Allen M. Waxman, Solid-State Color Night Vision: Fusion of Low-Light Visible and Thermal Infrared Imagery, 1998, Lincoln Laboratory Journal, vol. 11, No. 1, p. 41-60.
Sadok Mokhtar
Zakrzewski Radoslaw Romuald
Mehta Bhavesh M
Schaffer Jonathan
Simmonds Precision Products Inc.
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