Method for object recongnition using multi-layered swarm sweep algorithms

A system for multi-layered object detection, the system comprising one or more processors configured to perform operations of:

• partitioning a field-of-view of an image captured by a sensor into a plurality of layers;
• operating a plurality of software agents as a cooperative swarm to sequentially search each of the plurality of layers to locate an objective function optima according to particle swarm optimization dynamics, wherein the objective function corresponds to a location of an object of interest in each layer being searched;
• extracting an object of interest from at least one layer for presentation to a user;
• and
• generating an image pyramid of the image, wherein the plurality of layers correspond to a plurality of levels in the image pyramid, and wherein the image pyramid comprises a hierarchical structure having a plurality of levels representing distinct image resolutions of the image, wherein the plurality of levels comprise a coarsest level having a coarsest image resolution, a finest level having a finest image resolution, and at least one level between the coarsest level and the finest level;
• wherein a swarm having relatively fewer software agents is used to search the coarsest level of the image pyramid first to locate at least one region which contains the object of interest;
• and
• wherein a swarm having a relatively greater number of software agents is used to search levels having increasing image resolutions along the image pyramid in order to locate the object of interest.

A computer-implemented method for multi-layered object detection, the method comprising an act of causing a processor to perform operations of:

• partitioning a field-of-view of an image captured by a sensor into a plurality of layers;
• operating a plurality of software agents as a cooperative swarm to sequentially search each of the plurality of layers to locate an objective function optima according to particle swarm optimization dynamics, wherein the objective function corresponds to a location of an object of interest in the layer being searched;
• extracting an object of interest from at least one layer for presentation to a user;
• searching a first layer for the objective function optima corresponding to the location of an object of interest, the first layer being the layer closest to the sensor;
• masking a region of the image upon detection of an object of interest in the first layer resulting in at least one masked region and at least one unmasked region, wherein the at least one masked region corresponds to a region in the field-of-view of the image behind the object of interest;
• and
• searching succeeding layers of the field-of-view for an object of interest until the entire field-of-view has been searched for at least one object of interest, wherein the plurality of software agents are distributed in at least one unmasked region of the field-of-view.

A computer-implemented method for multi-layered object detection, the method comprising an act of causing a processor to perform operations of:

• partitioning a field-of-view of an image captured by a sensor into a plurality of layers;
• operating a plurality of software agents as a cooperative swarm to sequentially search each of the plurality of layers to locate an objective function optima according to particle swarm optimization dynamics, wherein the objective function corresponds to a location of an object of interest in the layer being searched;
• extracting an object of interest from at least one layer for presentation to a user;
• generating an image pyramid of the image, wherein the plurality of layers correspond to a plurality of levels in the image pyramid, and wherein the image pyramid comprises a hierarchical structure having a plurality of levels representing distinct image resolutions of the image, wherein the plurality of levels comprise a coarsest level having a coarsest image resolution, a finest level having a finest image resolution, and at least one level between the coarsest level and the finest level;
• wherein a swarm having relatively fewer software agents is used to search the coarsest level of the image pyramid first to locate at least one region which contains the object of interest;
• and
• wherein a swarm having a relatively greater number of software agents is used to search levels having increasing image resolutions along the image pyramid in order to locate the object of interest.

A computer program product for multi-layered object detection, the computer program product comprising computer-readable instruction means stored on a non-transitory computer-readable medium that are executable by a computer having a processor for causing the processor to perform operations of:

• partitioning a field-of-view of an image captured by a sensor into a plurality of layers;
• operating a plurality of software agents as a cooperative swarm to sequentially search each of the plurality of layers to locate an objective function optima according to particle swarm optimization dynamics, wherein the objective function corresponds to a location of an object of interest in the layer being searched;
• extracting an object of interest from at least one layer for presentation to a user;
• searching a first layer for the objective function optima corresponding to the location of an object of interest, the first layer being the layer closest to the sensor;
• masking a region of the image upon detection of an object of interest in the first layer resulting in at least one masked region and at least one unmasked region, wherein the at least one masked region corresponds to a region in the field-of-view of the image behind the object of interest;
• and
• searching succeeding layers of the field-of-view for an object of interest until the entire field-of-view has been searched for at least one object of interest, wherein the plurality of software agents are distributed in at least one unmasked region of the field-of-view.

A computer program product for multi-layered object detection, the computer program product comprising computer-readable instruction means stored on a computer-readable medium that are executable by a computer having a processor for causing the processor to perform operations of:

• partitioning a field-of-view of an image captured by a sensor into a plurality of layers;
• operating a plurality of software agents as a cooperative swarm to sequentially search each of the plurality of layers to locate an objective function optima according to particle swarm optimization dynamics, wherein the objective function corresponds to a location of an object of interest in the layer being searched;
• extracting an object of interest from at least one layer for presentation to a user;
• generating an image pyramid of the image, wherein the plurality of layers correspond to a plurality of levels in the image pyramid, and wherein the image pyramid comprises a hierarchical structure having a plurality of levels representing distinct image resolutions of the image, wherein the plurality of levels comprise a coarsest level having a coarsest image resolution, a finest level having a finest image resolution, and at least one level between the coarsest level and the finest level;
• wherein a swarm having relatively fewer software agents is used to search the coarsest level of the image pyramid first to locate at least one region which contains the object of interest;
• and
• wherein a swarm having a relatively greater number of software agents is used to search levels having increasing image resolutions along the image pyramid in order to locate the object of interest.