Image processing techniques to quickly find a desired object among other objects from a captured video scene

A method for locating a target object in a scene, the method comprising:

• identifying a target object image;
• capturing a scene that includes a plurality of objects;
• identifying a plurality of candidate object images within the scene using a neural network having one or more object classification layers, each of the candidate object images corresponding to one of the plurality of objects;
• comparing at least some of the identified candidate object images with the target object image to determine if a match above a confidence threshold is found;
• identifying a particular candidate object image having the match above the confidence threshold with the target object image;
• and
• causing the particular candidate object image to be highlighted on a display of the scene.

A system configured to locate a target object in a scene, the system comprising:

• at least one processor;
• an object determination module that is executable by the at least one processor, and that is configured to
• identify a target object image,
• capture a scene that includes a plurality of objects, and
• identify a plurality of candidate object images within the scene using a neural network having one or more object classification layers, each of the candidate object images corresponding to one of the plurality of objects;
• an object comparison module that is executable by the at least one processor, and that is configured to
• compare at least some of the identified candidate object images with the target object image to determine if a match above a confidence threshold is found, and
• identify a particular candidate object image having the match above the confidence threshold with the target object image;
• and
• a display module that is executable by the at least one processor, and that is configured to cause the particular candidate object image to be highlighted on a display of the scene.