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Subject identification systems and methods

An object and associated technology, applied in neural learning methods, character and pattern recognition, image enhancement, etc., can solve unclear problems

Pending Publication Date: 2020-06-26
KONINKLJIJKE PHILIPS NV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Face detection technology can detect all faces in a digital image, but it may not be clear which faces belong to the patient and which belong to others

Method used

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  • Subject identification systems and methods
  • Subject identification systems and methods
  • Subject identification systems and methods

Examples

Experimental program
Comparison scheme
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Embodiment Construction

[0023] figure 1 It is generally schematically illustrated how a patient may be monitored using the disclosed techniques. In particular, operations and actions that may occur in a pre-waiting room area (such as at pre-waiting room area(s) 102 ) are depicted, which may include reception and / or registration, and / or triage stations or booth. Additionally, operations and actions that can occur in waiting room 104 are depicted. It should be understood that figure 1 The order of is not intended to be limiting, and other orders are possible.

[0024] At block 106, the new patient may enter and / or approach the pre-waiting area(s), for example, after a reception desk check (not shown). At block 108, a new patient may be registered. Registration may include, for example, collecting information about a patient such as the patient's name, age, gender, insurance information, and reason for visit. Typically, but not exclusively, this information may be manually entered into the compute...

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PUM

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Abstract

Disclosed techniques relate to identifying subjects in digital images. In various embodiments, a first camera (276, 376, 476, 976) may acquire (1002) digital images (420) depicting a subject in an area. Portion(s) of the digital image(s) that depict a face of the subject may be detected (1004) as detected face image(s). Features of the detected face image(s) may be compared (1006) with features ofsubject reference templates associated with subject(s) in a subject reference database (412). The subject reference database stores subject reference templates that are associated with multiple subjects and that are generated based on data received from a second camera (256, 456). Based on the comparing, an identity of the subject may be determined (1014) and the features of the detected face image(s) may be stored (1016) in the subject reference database in association with the subject, e.g., as an auxiliary template feature vector for later use.

Description

technical field [0001] The present disclosure relates generally, but not exclusively, to identifying persons in digital images, including digital image streams. More specifically, but not exclusively, various methods and apparatus disclosed herein relate to identifying people in digital images (or streams thereof) so that those people can be located in areas of a hospital, such as waiting rooms. Background technique [0002] There are a variety of situations in which it may be desirable to automatically identify a person (or "object") based on capturing a digital image of a scene containing the person. For example, when a patient visits a hospital, they are typically checked in, triaged, and then sent to an area such as a waiting room to wait for hospital resources, such as physicians, to become available to examine and / or treat the patient. Being able to automatically identify individual patients can help to continuously monitor their condition (eg, for deterioration) whil...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06T7/292G06V10/772
CPCG06T2207/10016G06T2207/30201G06T7/248G06V40/16G06V20/52G06V10/454G06V10/82G06V10/772G06F16/51G06F16/56G06N3/08G06V40/50G06V40/165G06V40/172G06F18/28
Inventor 王海波C·C·A·M·范宗
Owner KONINKLJIJKE PHILIPS NV