Method and system for dismount detection in low-resolution UAV imagery
First Claim
1. A method for dismount detection in a single low-resolution, high-altitude image, comprising;
- providing a single input image;
processing a grayscale distribution of the single input image;
determining a rough classification of the single input image based on the grayscale distribution and without the use of any reference images;
determining optimal parameters based on the determined rough classification for the single input image without the use of any reference images;
estimating at least one potential dismount location;
extracting blobs from the single input image without the use of any reference images;
applying an area filter to the at least one potential dismount location;
removing undesired locations from the at least one potential dismount location;
applying at least one secondary filter to the resulting at least one potential dismount location wherein the at least one secondary filter comprises applying at least two of;
a contrast filter, a dynamic filter, a thermal filter, a change detection filter, a motion history filter, and a clutter identification filter;
fusing the results of the at least two secondary filters;
assigning a probability to the at least one potential dismount location; and
assessing desirability for initiating tracking of the at least one potential dismount location.
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Abstract
A method for dismount detection in low-resolution UAV imagery, comprising providing an input image, processing a greyscale distribution of the input image, determining a rough classification in the input image based on the grayscale distribution, determining the optimal parameters based on the rough classification, estimating one or more potential dismount locations, applying an area filter to the one or more potential dismount locations, removing undesired locations from the one or more potential dismount locations, applying one or more secondary filters to the resulting one or more potential dismount locations, assigning a probability to the one or more potential dismount locations, and assessing desirability of the one or more potential dismount locations.
8 Citations
25 Claims
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1. A method for dismount detection in a single low-resolution, high-altitude image, comprising;
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providing a single input image; processing a grayscale distribution of the single input image; determining a rough classification of the single input image based on the grayscale distribution and without the use of any reference images; determining optimal parameters based on the determined rough classification for the single input image without the use of any reference images; estimating at least one potential dismount location; extracting blobs from the single input image without the use of any reference images; applying an area filter to the at least one potential dismount location; removing undesired locations from the at least one potential dismount location; applying at least one secondary filter to the resulting at least one potential dismount location wherein the at least one secondary filter comprises applying at least two of;
a contrast filter, a dynamic filter, a thermal filter, a change detection filter, a motion history filter, and a clutter identification filter;fusing the results of the at least two secondary filters; assigning a probability to the at least one potential dismount location; and assessing desirability for initiating tracking of the at least one potential dismount location. - View Dependent Claims (2, 3, 4, 5)
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6. A method to improve the reliability of dismount detection from a single, low resolution image, the method comprising the steps of:
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obtaining a single input image; and
,determining from the single input image a probability that a portion of the single input image corresponds to a dismount by applying a plurality of filtering techniques and image processing techniques without the use of any reference images, and fusing the results of the plurality of filtering techniques and image processing techniques to ascertain a probability of a dismount being present in the single input image without use of any reference images, wherein the plurality of filtering techniques comprise at least one secondary filter, wherein the at least one secondary filter comprises at least one of a contrast filter, a dynamic filter, a thermal filter, a change detection filter, a motion history filter, and a clutter identification filter. - View Dependent Claims (7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A method of improving the reliability of dismount detection in a single, low resolution input image, the method comprising the steps of:
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receiving a single low resolution input image from a high altitude, wherein the single low resolution input image has a potential dismount; processing the single low resolution input image utilizing rough classification filtering without the reference images; processing the single low resolution input image without the use of any reference images using at least two of;
image smoothing, contrast enhancement, multilevel image segmentation, area filtering, blob extraction, contrast filtering, dynamic filtering, thermal filtering, change detection filtering, motion history filtering, clutter identification and shape filtering;fusing the results of the processing step using at least two filters; and outputting a probability of at least 98% that the potential dismount is a verified dismount.
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Specification