US 10,482,345 B2 · Systems and methods for automated object recognition

Abstract

A method for recognizing an object in a video stream may include receiving a video stream from a video source, the video stream comprising a plurality of video frames. The method may also include selecting at least one video frame from the video frames according to a frame selection rate. The method may also include partitioning the selected video frame into a first plurality of image blocks. The method may also include recognizing, out of the first plurality of image blocks, a second plurality of image blocks which comprise an image of an object, the recognition being based on an image recognition parameter determined by a machine-learning algorithm. The method may also include determining that at least one of the second plurality of image blocks corresponds to the object based on a likelihood metric, the likelihood metric being determined by the processor based on at least the frame selection rate. The method may further include displaying, on a display, information identifying the object. A system and non-transitory computer-readable medium may also be provided.

Claims20

Dependent claims

A system for recognizing an object in a video stream, comprising:

a memory storing instructions;
and
a processor configured to execute the stored instructions to:
receive the video stream from a video source, the video stream comprising a first set of video frames;
select at least one video frame from the first set of the video frames according to a frame selection rate, wherein the frame selection rate determines a number of the selected video frames;
partition the one or more selected video frames into one or more sets of image blocks, each set of image blocks corresponding to a respective video frame;
identify, within one or more sets of image blocks, a region which comprise an image of an object, the identification being based on a machine-learning algorithm for determining regions characterized by an image recognition parameter;
calculate a likelihood metric that the region corresponds to the object;
adjust the frame selection rate when the likelihood metric is less than a predetermined threshold;
and
display, on a display, information identifying the object.

8 more elements

A non-transitory computer-readable medium storing instructions which, when executed, cause at least one processor to perform operations for recognizing an object in a video stream, the operations comprising:

receiving the video stream from a video source, the video stream comprising a first set of video frames;
selecting at least one video frame from the first set of the video frames according to a frame selection rate, wherein the frame selection rate determines a number of the selected video frames;
partitioning the one or more selected video frames into one or more sets of image blocks, each set of image blocks corresponding to a respective video frame;
identifying within one or more sets, of image blocks, a region which comprise an image of an object, the identification being based on a machine-learning algorithm for determining regions characterized by an image recognition parameter;
calculating a likelihood metric that the region corresponds to the object;
adjusting the frame selection rate when the likelihood metric is less than a predetermined threshold;
and
displaying, on a display, information identifying the object.

5 more elements

Dependencies are inferred from the claim text.

Systems and methods for automated object recognition

Life of this patent

Systems and methods for automated object recognition

Life of this patent

Abstract

Claims20