Gaze tracking for a mobile device
US-2016282937-A1 · Sep 29, 2016 · US
Teacher data generation apparatus and method, and object detection system
US2018342077A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2018342077-A1 |
| Application number | US-201815949638-A |
| Country | US |
| Kind code | A1 |
| Filing date | Apr 10, 2018 |
| Priority date | May 26, 2017 |
| Publication date | Nov 29, 2018 |
| Grant date | — |
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Abstract
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A teacher data generation apparatus configured to generate teacher data used for object detection for detecting a specific identifying target includes a processor configured to execute a process including learning the specific identifying target by an object recognition method using reference data including the specific identifying target to generate an identification model of the specific identifying target and detecting the specific identifying target from moving image data including the specific identifying target based on deduction by the object recognition method using the generated identification model to generate teacher data for the specific identifying target.
First claim
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What is claimed is: 1 . A teacher data generation apparatus configured to generate teacher data used for object detection for detecting a specific identifying target, the teacher data generation apparatus comprising a processor configured to execute a process, the process comprising: learning the specific identifying target by an object recognition method using reference data including the specific identifying target to generate an identification model of the specific identifying target; and detecting the specific identifying target from moving image data including the specific identifying target based on deduction by the object recognition method using the generated identification model to generate teacher data for the specific identifying target. 2 . The teacher data generation apparatus according to claim 1 , wherein the process further comprises: converting moving image data including the specific identifying target into a plurality of still image data and affixing a plurality of labels to regions of the specific identifying target to generate the reference data including the specific identifying target, the regions being cut out from the plurality of still image data obtained by the converting. 3 . The teacher data generation apparatus according to claim 1 , wherein the process further comprises: selecting arbitrary teacher data from the generated teacher data for the specific identifying target. 4 . The teacher data generation apparatus according to claim 1 , wherein the object recognition method is performed by an object recognition method by using deep learning. 5 . A teacher data generation method for generating teacher data used for object detection for detecting a specific identifying target, the teacher data generation method comprising: learning the specific identifying target by an object recognition method using reference data including the specific identifying target to generate an identification model of the specific identifying target, by a processor; and detecting the specific identifying target from moving image data including the specific identifying target based on deduction by the object recognition method using the generated identification model to generate teacher data for the specific identifying target, by the processor. 6 . The teacher data generation method according to claim 5 , further comprising: converting moving image data including the specific identifying target into a plurality of still image data and affixing a plurality of labels to regions of the specific identifying target to generate the reference data including the specific identifying target, by the processor, the regions being cut out from the plurality of still image data obtained by the converting. 7 . The teacher data generation method according to claim 5 , further comprising: selecting arbitrary teacher data from the generated teacher data for the specific identifying target, by the processor. 8 . The teacher data generation method according to claim 5 , wherein the object recognition method is performed by an object recognition method by using deep learning. 9 . A non-transitory computer-readable recording medium having stored therein a teacher data generation program for generating teacher data used for object detection for detecting a specific identifying target, the teacher data generation program causing a computer to execute a process, the process comprising: learning the specific identifying target by an object recognition method using reference data including the specific identifying target to generate an identification model of the specific identifying target; and detecting the specific identifying target from moving image data including the specific identifying target based on deduction by the object recognition method using the generated identification model to generate teacher data for the specific identifying target. 10 . The non-transitory computer-readable recording medium according to claim 9 , wherein the process further comprises: converting moving image data including the specific identifying target into a plurality of still image data and affixing a plurality of labels to regions of the specific identifying target to generate the reference data including the specific identifying target, the regions being cut out from the plurality of still image data obtained by the converting. 11 . The non-transitory computer-readable recording medium according to claim 9 , wherein the process further comprises: selecting arbitrary teacher data from the generated teacher data for the specific identifying target. 12 . The non-transitory computer-readable recording medium according to claim 9 , wherein the object recognition method is performed by an object recognition method by using deep learning.
Assignees
Inventors
Classifications
Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting · CPC title
- G06V10/82Primary
using neural networks · CPC title
Validation; Performance evaluation · CPC title
using classification, e.g. of video objects · CPC title
- G06T7/70Primary
Determining position or orientation of objects or cameras (camera calibration G06T7/80) · CPC title
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- What does patent US2018342077A1 cover?
- A teacher data generation apparatus configured to generate teacher data used for object detection for detecting a specific identifying target includes a processor configured to execute a process including learning the specific identifying target by an object recognition method using reference data including the specific identifying target to generate an identification model of the specific iden…
- Who is the assignee on this patent?
- Fujitsu Ltd
- What technology area does this patent fall under?
- Primary CPC classification G06V10/82. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Thu Nov 29 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).