System and method for discriminating and demarcating targets of interest in a physical scene
AssigneeReality Analytics, Inc.
InventorJeffrey Mark Sieracki
Life of this patent
Estimating the term…
Abstract
Captured samples of a physical structure or other scene are mapped to a predetermined multi-dimensional coordinate space, and spatially-adjacent samples are organized into array cells representing subspaces thereof. Each cell is classified according to predetermined target-identifying criteria for the samples of the cell. A cluster of spatially-contiguous cells of common classification, peripherally bounded by cells of different classification, is constructed, and a boundary demarcation is defined from the peripheral contour of the cluster. The boundary demarcation is overlaid upon a visual display of the physical scene, thereby visually demarcating the boundaries of a detected target of interest.
Claims7
A system for detecting and discriminating a feature of interest merged with other features within a physically transduced scene, the system comprising:
- an array generating portion executing on a processor to define a multi-dimensional spatial array containing a plurality of physically transduced samples captured for the scene;
- and
- a target discriminating portion executing on a processor to:
- formulate a plurality of classification levels, wherein the plurality of physically transduced samples of the scene are mapped at each of the classification levels into a plurality of unit cells of said classification level, the unit cells of different classification levels encompassing spatial regions of different size within the multi-dimensional spatial array,
- apply a plurality of predefined classification schemes at the respective classification levels to generate level-specific classifications for the unit cells thereof, the predefined classification schemes of at least two classification levels being different and mutually independent in execution upon different samples captured from the same portion of the scene,
- combine the level-specific classifications for the unit cells across the plurality of classification levels to adaptively construct at least one cluster of spatially-contiguous cluster cells based thereon, the cluster cells each being of a common preselected spatial region size independent of classification level, the at least one cluster at least partially defining the feature of interest in peripheral contour within the scene, and,
- trigger a detection signal corresponding to discrimination of the feature of interest within the scene,
- wherein the combining of level-specific classifications includes, for each cluster cell within the at least one cluster:
- combining the level-specific classifications for the unit cells of each respective classification level contained within the cluster cell to generate a level-specific classification of the cluster cell, and,
- combining each level-specific classification of the cluster cell to generate a general classification of the cluster cell.
Dependencies are inferred from the claim text.