US 12,118,796 B2 · Systems and methods for object detection in an environment

Abstract

Aspects of the present disclosure relate generally to a vision system that detects persons exiting an environment, comprising detecting, by a processor using a plurality of image frames from at least one sensor, persons that exited the environment during a first period of time. The vision system further determines, by the processor, an exit count for the first period of time and retrieves, from a database, historical egress data comprising a detected historic exit count and a corrected historic exit count of the environment for a second period of time corresponding to the first period of time. The vision system calculates an error rate for the second period of time based on a ratio of the detected historic exit count and the corrected historic exit count, determines and stores a corrected exit count for the first period of time by adjusting the exit count using the error rate.

Claims25

Dependent claims

A vision system for detecting persons exiting an environment, comprising:

at least one sensor;
a memory;
and
a processor communicatively coupled with the memory and the at least one sensor and configured to:
detect, using the at least one sensor, persons that exited the environment during a first period of time;
determine an exit count for the first period of time;
retrieve, from a database in the memory, historical egress data for a second period of time corresponding to the first period of time, wherein the historical egress data comprises a detected historic exit count and a corrected historic exit count of the environment;
calculate an error rate for the second period of time based on a ratio of the detected historic exit count and the corrected historic exit count;
determine a corrected exit count for the first period of time by adjusting the exit count using the error rate;
and
store the corrected exit count in the database.

8 more elements

A vision system for detecting persons entering an environment, comprising:

at least one sensor;
a memory;
and
a processor communicatively coupled with the memory and the at least one sensor and configured to:
detect, using a first sensor of the at least one sensor, persons that enter the environment during a period of time by:
identifying moving objects in a plurality of image frames captured by the first sensor during the period of time;
and
determining, for each respective object, a likelihood that the respective object is a person, wherein a likelihood greater than a threshold likelihood is indicative of a person detection;
increment an entry count of the period of time for each distinct person detected;
determine a corrected entry count for the period of time by, without manual input from a user, removing ghost detection counts and adding missed detection counts;
and
store the corrected entry count in a database.

9 more elements

A method for detecting persons entering an environment, comprising:

detecting, using a first sensor of at least one sensor, persons that enter the environment during a period of time by:
identifying moving objects in a plurality of image frames captured by the first sensor during the period of time;
and
determining, for each respective object, a likelihood that the respective object is a person, wherein a likelihood greater than a threshold likelihood is indicative of a person detection;
incrementing an entry count of the period of time for each distinct person detected;
determining a corrected entry count for the period of time by, without manual input from a user, removing ghost detection counts and adding missed detection counts;
and
storing the corrected entry count in a database.

5 more elements

Dependencies are inferred from the claim text.

Systems and methods for object detection in an environment

Life of this patent

Systems and methods for object detection in an environment

Life of this patent

Abstract

Claims25