Target detection systems
First Claim
1. A target detection system comprising:
- means for repetitively deriving picture signals representing an image of a scene, which picture signals may contain a target signal to be detected against background signals, in that the image is divided into a plurality of sub-images;
a plurality of sub-stores, one for each of the sub-images;
means for calculating and storing values of a set of features of background picture signals associated with each sub-image in the respective sub-store;
means for calculating and storing a statistical distribution of the background features;
means for calculating and storing values of a set of features of target signals associated with each sub-image in the respective sub-store;
means for calculating and storing a statistical distribution of the target feature;
means for comparing the statistical distribution of the background features with that of the target features to set a target decision threshold as a function of feature values for each sub-image; and
means for comparing feature values of an incoming picture signal in a sub-image with the target decision threshold in the associated sub-store to detect a target.
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Abstract
A target detection system is provided for examining picture signals of a scene which may contain a target signal (15,16) to be detected against background signals (17,18). The image is divided into sub-images and sub-stores are provided one each for the sub-images (19). The values of a set of features, such as brightness, volume or quietness, of the background and target picture signals associated with each sub-image in the respective sub-store are calculated and stored. The statistical distributions of the background and target features in each sub-store to set a target decision threshold, in feature terms, for each sub-image are calculated. The feature values of an incoming picture signal in a sub-image are compared with the decision threshold in the associated sub-store to provide a target detection signal. Each sub-image threshold relates to the image status in that particular sub-image. A lower false alarm rate with a higher detection probability is provided.
64 Citations
4 Claims
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1. A target detection system comprising:
- means for repetitively deriving picture signals representing an image of a scene, which picture signals may contain a target signal to be detected against background signals, in that the image is divided into a plurality of sub-images;
a plurality of sub-stores, one for each of the sub-images;
means for calculating and storing values of a set of features of background picture signals associated with each sub-image in the respective sub-store;
means for calculating and storing a statistical distribution of the background features;
means for calculating and storing values of a set of features of target signals associated with each sub-image in the respective sub-store;
means for calculating and storing a statistical distribution of the target feature;
means for comparing the statistical distribution of the background features with that of the target features to set a target decision threshold as a function of feature values for each sub-image; and
means for comparing feature values of an incoming picture signal in a sub-image with the target decision threshold in the associated sub-store to detect a target. - View Dependent Claims (2, 3, 4)
- means for repetitively deriving picture signals representing an image of a scene, which picture signals may contain a target signal to be detected against background signals, in that the image is divided into a plurality of sub-images;
Specification