Cognitive search analytics for multi-dimensional objects
AssigneeInternational Business Machines Corporation
InventorsHarish Bharti, Abhay Patra, Sarbajit K. Rakshit, Rajesh Kumar Saxena, Sandeep Sukhija
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Abstract
A method (and structure and computer product) of recognizing and tracking an object includes receiving image data from at least two camera sensors and analyzing the image data to determine attributes of an object detected as present in the image data. A first decision tree (DT) is developed to classify the object, based on the attributes determined from the image data. A second DT is developed to refine the first DT, wherein the second DT is used to refine the first DT by determining which attributes are most significant in the classification of the object.
Claims16
A method of recognizing and tracking an object, the method comprising:
- receiving image data from at least two camera sensors;
- analyzing the image data to determine attributes of an object detected as present in the image data;
- developing a first decision tree (DT) to classify the object, based on the attributes determined from the image data;
- and
- developing a second DT as a balanced DT that refines the first DT by determining which attributes are most significant in the classification of the object.
A method of recognizing and tracking an object, the method comprising:
- receiving image data from at least two camera sensors;
- analyzing the image data to determine attributes of an object detected as present in the image data;
- and
- concurrently developing two decision trees (DTs), wherein a first DT is developed to determine a classification of the object and a second DT is developed to prevent the first DT from becoming congested.
Dependencies are inferred from the claim text.