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US 10,769,808 B2Granted
Apparatus and methods of automated tracking and counting of objects on a resource-constrained device
AssigneeMicrosoft Technology Licensing, LLC
InventorsDonna Katherine Long, Arthur Charles Tomlin, Kenneth Liam Kiemele, John Benjamin Hesketh
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Abstract
The present disclosure provides apparatus and methods for automated tracking and counting of objects in a set of image frames using a resource-constrained device based on analysis of a selected subset of image frames, and based on selectively timing when resource-intensive operations are performed.
Claims17
An automated object tracking and counting system, comprising:
- a memory comprising instructions;
- and
- a processor in communication with the memory and configured to execute the instructions, wherein the processor is configured to:
- obtain a set of image frames captured over time;
- detect one or more objects in the set of image frames;
- track positioning of the detected one or more objects in each of the set of image frames;
- determine whether a current timing condition meets one or more classification timing rules;
- select a subset of image frames from the set of image frames based on a selection parameter of each of the subset of image frames meeting a selection criteria, in response to the current timing condition meeting the one or more classification timing rules, wherein the selection parameter includes a distance of a position of each of the subset of image frames to a target position of a target image frame, and wherein the selection criteria comprises a number of image frames having a lowest distance to the target position of the target image frame;
- classify as a respective object type each of the detected one or more objects;
- count a number of the classified object types in the subset of image frames;
- and
- output the number of the classified object types as a current count of the classified object type.
9 more elements
An automated method of counting objects, comprising:
- receiving a plurality of image frames from a camera;
- detecting at least a first unidentified object in each of a first set of the plurality of image frames;
- tracking at least the first unidentified object through the first set of the plurality of image frames;
- determining a selection parameter associated with each of the first set of the plurality of image frames;
- selecting a subset of image frames from the first set of the plurality of image frames based on each selection parameter of the subset of image frames meeting a selection criteria, wherein each selection parameter includes a distance of a position of each of the subset of image frames to a target position of a target image frame, and wherein the selection criteria comprises a number of image frames having a lowest distance to the target position of the target image frame;
- determining that a classification timing trigger meets a trigger condition;
- automatically classifying at least the first unidentified object as a first type of object based on analyzing the subset of image frames in response to the classification timing trigger meeting the trigger condition;
- identifying a number of the first type of object in the subset of image frames to define a current count;
- updating a total count of the first type of object based on the number of the first type of object defined by the current count;
- and
- outputting the current count and/or the total count of the first type of object.
8 more elements
A non-transitory computer-readable medium storing instructions for automated object tracking and counting that are executable by a processor, comprising:
- instructions to cause the processor to obtain a set of image frames captured over time;
- instructions to cause the processor to detect one or more objects in the set of image frames;
- instructions to cause the processor to track positioning of the detected one or more objects in each of the set of image frames;
- instructions to cause the processor to determine whether a current timing condition meets one or more classification timing rules;
- instructions to cause the processor to select a subset of image frames from the set of image frames based on a selection parameter of each of the subset of image frames meeting a selection criteria, in response to the current timing condition meeting the one or more classification timing rules, wherein the selection parameter includes a distance of a position of each of the subset of image frames to a target position of a target image frame, and wherein the selection criteria comprises a number of image frames having a lowest distance to the target position of the target image frame;
- instructions to cause the processor to classify as a respective object type each of the detected one or more objects;
- instructions to cause the processor to count a number of the classified object types in the subset of image frames;
- and
- instructions to cause the processor to output the number of the classified object types as a current count of the classified object type.
6 more elements
Dependencies are inferred from the claim text.