Image processing device, image processing system, image processing method, and program

An image processing method for detecting, by image processing, types of objects included in an image and positional coordinates at which the objects are located, the image processing method comprising:

• acquiring a first correspondence information group including multiple items of correspondence information in which positional coordinates indicating ranges in which objects are predicted to be located in the image are associated with likelihoods of classes, among multiple predefined classes, corresponding to the ranges;
• acquiring settings information relating to the image processing;
• extracting, based on the acquired first correspondence information group and the acquired settings information, a second correspondence information group including at least one or more likely classes and positional information corresponding to the likely classes;
• and
• outputting the extracted second correspondence information group,
• wherein the settings information includes at least information indicating either a first setting for prioritizing accuracy of the classes and the positional coordinates extracted by the extraction unit, or a second setting for prioritizing a processing speed of the extraction unit,
• wherein, in the process by which the extraction unit extracts the second correspondence information group, the number of the classes to be computed when the settings information indicates the second setting is less than the number of the classes to be computed when the settings information indicates the first setting.

A computer-readable recording medium that includes a program for detecting, by image processing, types of objects included in an image and positional coordinates at which the objects are located that, when executed, causes a computer to:

• acquire a first correspondence information group including multiple items of correspondence information in which positional coordinates indicating ranges in which the objects are predicted to be located in the image are associated with likelihoods of classes, among multiple predefined classes, corresponding to the ranges;
• acquire settings information relating to the image processing;
• extract, based on the acquired first correspondence information group and the acquired settings information, a second correspondence information group including at least one or more likely classes and positional information corresponding to the likely classes;
• and
• output the extracted second correspondence information group,
• wherein the settings information includes at least information indicating either a first setting for prioritizing accuracy of the classes and the positional coordinates extracted by the extraction unit, or a second setting for prioritizing a processing speed of the extraction unit,
• wherein, in the process by which the extraction unit extracts the second correspondence information group, the number of the classes to be computed when the settings information indicates the second setting is less than the number of the classes to be computed when the settings information indicates the first setting.

An image processing device that detects, by image processing, types of objects included in an image and positional coordinates at which the objects are located, the image processing device being provided with:

• a correspondence information acquisition unit that acquires a first correspondence information group including multiple items of correspondence information in which positional coordinates indicating ranges in which objects are predicted to be located in the image are associated with likelihoods of classes, among multiple predefined classes, corresponding to the ranges;
• a settings information acquisition unit that acquires settings information relating to the image processing;
• an extraction unit that extracts, based on the acquired first correspondence information group and the acquired settings information, a second correspondence information group including at least one or more likely classes and positional information corresponding to the likely classes;
• and
• an output unit that outputs the extracted second correspondence information group,
• wherein the settings information includes at least information indicating either a first setting for prioritizing accuracy of the classes and the positional coordinates extracted by the extraction unit, or a second setting for prioritizing a processing speed of the extraction unit,
• wherein the extraction unit is further provided with a switching unit that, based on the settings information, switches between a first computation unit that performs computations for extracting the second correspondence information group when the settings information indicates the first setting and a second computation unit that performs computations for extracting the second correspondence information group when the settings information indicates the second setting.