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Object number estimation device, object number estimation method, and storage medium

An object and quantity technology applied to the field of object quantity estimation devices

Pending Publication Date: 2021-03-05
KK TOSHIBA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

get image

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  • Object number estimation device, object number estimation method, and storage medium
  • Object number estimation device, object number estimation method, and storage medium
  • Object number estimation device, object number estimation method, and storage medium

Examples

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no. 1 approach

[0026] figure 1 It is a schematic diagram showing an example of the object number estimation system 10 of this embodiment.

[0027] The object number estimation system 10 includes an object number estimation device 20 , a communication unit 10A, an imaging unit 10B, and a UI (User Interface) unit 10C.

[0028] The object number estimation device 20 is connected to the communication unit 10A, the imaging unit 10B, and the UI unit 10C so as to be able to exchange data or signals.

[0029] The object number estimation device 20 is, for example, a dedicated or general-purpose computer. The object number estimating device 20 estimates the number of objects included in the image (details will be described later).

[0030] The communication unit 10A communicates with an external device. For example, the communication unit 10A transmits various information to and receives various information from an external device via a known communication line.

[0031] The imaging unit 10B is a...

no. 2 approach

[0120] In the second embodiment, a case where a learning model obtained by learning using a specific teacher image is used as the reference learning model 50 will be described.

[0121] In addition, the same code|symbol is attached|subjected to the part with the same function and structure as 1st Embodiment, and detailed description is abbreviate|omitted.

[0122] Figure 11 It is a schematic diagram showing an example of the object number estimation system 11 of this embodiment.

[0123] The object number estimation system 11 includes an object number estimation device 21 , a communication unit 10A, an imaging unit 10B, and a UI unit 10C. The object number estimation device 21 is connected to the communication unit 10A, the imaging unit 10B, and the UI unit 10C so that data or signals can be exchanged.

[0124] The object number estimation device 21 includes a storage unit 20B and a processing unit 21A. The object number estimating device 21 is the same as the object numbe...

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PUM

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Abstract

The invention relates to an object number estimation device, an object number estimation method, and a storage medium, which can estimate the number of objects with high precision. An object number estimation device is provided with an acquisition unit, a setting unit, and an estimation unit. Acquisition unit acquires image. The setting unit sets a local region size, which is an object number estimation unit in the image, on the basis of the image. The estimation unit estimates the number of objects included in the image for each local region of a set local region size.

Description

[0001] This application is based on Japanese invention patent application 2019-161610 (filing date: September 4, 2019), and enjoys the priority of this application. This application incorporates the entire contents of this application by reference thereto. technical field [0002] Embodiments of the present invention relate to an object number estimating device, an object number estimating method, and a storage medium. Background technique [0003] There is known a method of analyzing an image obtained by a surveillance camera and the like to estimate the number of persons included in the image. For example, a learning model is learned using the correspondence between images and correct labels representing the state of the crowd and the location of the crowd reflected in the image as teacher data. Furthermore, a technique for estimating the position of a crowd from an image using the learning model is disclosed. Also, in the prior art, objects included in an image are esti...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08G06V10/764
CPCG06N3/08G06V40/10G06V20/53G06N3/045G06T7/77G06T2207/30242G06T2207/30196G06T2207/30232G06T2207/20081G06T2207/20104G06T2207/20076G06V10/454G06V10/82G06T2207/20084G06V10/764G06T7/0002G06N20/00G06F17/18
Inventor 山地雄土柴田智行
Owner KK TOSHIBA
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