JP7310927B2 - 物体追跡装置、物体追跡方法及び記録媒体 - Google Patents

物体追跡装置、物体追跡方法及び記録媒体 Download PDF

Info

Publication number
JP7310927B2
JP7310927B2 JP2021566677A JP2021566677A JP7310927B2 JP 7310927 B2 JP7310927 B2 JP 7310927B2 JP 2021566677 A JP2021566677 A JP 2021566677A JP 2021566677 A JP2021566677 A JP 2021566677A JP 7310927 B2 JP7310927 B2 JP 7310927B2
Authority
JP
Japan
Prior art keywords
position information
image
information
matrix
feature
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
JP2021566677A
Other languages
English (en)
Japanese (ja)
Other versions
JPWO2021130951A1 (https=
JPWO2021130951A5 (https=
Inventor
宏 福井
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
NEC Corp
Original Assignee
NEC Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by NEC Corp filed Critical NEC Corp
Publication of JPWO2021130951A1 publication Critical patent/JPWO2021130951A1/ja
Publication of JPWO2021130951A5 publication Critical patent/JPWO2021130951A5/ja
Application granted granted Critical
Publication of JP7310927B2 publication Critical patent/JP7310927B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/751Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • G06T7/246Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/70Determining position or orientation of objects or cameras
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/07Target detection

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Computing Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Image Analysis (AREA)
JP2021566677A 2019-12-26 2019-12-26 物体追跡装置、物体追跡方法及び記録媒体 Active JP7310927B2 (ja)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2019/051088 WO2021130951A1 (ja) 2019-12-26 2019-12-26 物体追跡装置、物体追跡方法及び記録媒体

Publications (3)

Publication Number Publication Date
JPWO2021130951A1 JPWO2021130951A1 (https=) 2021-07-01
JPWO2021130951A5 JPWO2021130951A5 (https=) 2022-08-08
JP7310927B2 true JP7310927B2 (ja) 2023-07-19

Family

ID=76573764

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2021566677A Active JP7310927B2 (ja) 2019-12-26 2019-12-26 物体追跡装置、物体追跡方法及び記録媒体

Country Status (3)

Country Link
US (1) US12243299B2 (https=)
JP (1) JP7310927B2 (https=)
WO (1) WO2021130951A1 (https=)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022014327A1 (ja) * 2020-07-14 2022-01-20 ソニーセミコンダクタソリューションズ株式会社 情報処理装置、情報処理方法、およびプログラム
US11972348B2 (en) * 2020-10-30 2024-04-30 Apple Inc. Texture unit circuit in neural network processor
WO2025186903A1 (ja) * 2024-03-05 2025-09-12 日本電気株式会社 情報処理装置、情報処理方法、及び記録媒体

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018030048A1 (ja) 2016-08-08 2018-02-15 パナソニックIpマネジメント株式会社 物体追跡方法、物体追跡装置およびプログラム
WO2019008951A1 (ja) 2017-07-06 2019-01-10 株式会社デンソー 畳み込みニューラルネットワーク
JP2019536154A (ja) 2016-11-15 2019-12-12 マジック リープ, インコーポレイテッドMagic Leap,Inc. 直方体検出のための深層機械学習システム

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5166102B2 (ja) 2008-04-22 2013-03-21 株式会社東芝 画像処理装置及びその方法
JP2012181710A (ja) 2011-03-02 2012-09-20 Fujifilm Corp オブジェクト追跡装置、方法、及びプログラム
JP6488647B2 (ja) 2014-09-26 2019-03-27 日本電気株式会社 物体追跡装置、物体追跡システム、物体追跡方法、表示制御装置、物体検出装置、プログラムおよび記録媒体
US9858496B2 (en) 2016-01-20 2018-01-02 Microsoft Technology Licensing, Llc Object detection and classification in images
JP6832504B2 (ja) * 2016-08-08 2021-02-24 パナソニックIpマネジメント株式会社 物体追跡方法、物体追跡装置およびプログラム
JP6946649B2 (ja) 2017-01-31 2021-10-06 ソニーグループ株式会社 電子機器、情報処理方法およびプログラム
US12406380B2 (en) * 2020-03-12 2025-09-02 Nec Corporation Image processing apparatus, image processing system, image processing method, and non-transitory computer-readable medium storing image processing program therein
JP7491383B2 (ja) * 2020-08-19 2024-05-28 日本電気株式会社 基準状態決定装置、基準状態決定方法、及びプログラム

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018030048A1 (ja) 2016-08-08 2018-02-15 パナソニックIpマネジメント株式会社 物体追跡方法、物体追跡装置およびプログラム
JP2019536154A (ja) 2016-11-15 2019-12-12 マジック リープ, インコーポレイテッドMagic Leap,Inc. 直方体検出のための深層機械学習システム
WO2019008951A1 (ja) 2017-07-06 2019-01-10 株式会社デンソー 畳み込みニューラルネットワーク

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
FEICHTENHOFER et al.,Detect to Track and Track to Detect,Proceedings of 2017 IEEE International Conference on Computer Vision (ICCV 2017),米国,IEEE,2017年10月29日,pp.3057-3065,DOI:10.1109/ICCV.2017.330,ISBN 978-1-5386-1032-9

Also Published As

Publication number Publication date
WO2021130951A1 (ja) 2021-07-01
JPWO2021130951A1 (https=) 2021-07-01
US12243299B2 (en) 2025-03-04
US20230031931A1 (en) 2023-02-02

Similar Documents

Publication Publication Date Title
US12499363B2 (en) Learning to generate synthetic datasets for training neural networks
US12406488B2 (en) Neural network model training method, image processing method, and apparatus
Liu et al. Video object detection for autonomous driving: Motion-aid feature calibration
US11557085B2 (en) Neural network processing for multi-object 3D modeling
CN110335290B (zh) 基于注意力机制的孪生候选区域生成网络目标跟踪方法
Hornauer et al. Gradient-based uncertainty for monocular depth estimation
CN110033026A (zh) 一种连续小样本图像的目标检测方法、装置及设备
CN111860504A (zh) 基于深度学习的视觉多目标跟踪方法及装置
JP7310927B2 (ja) 物体追跡装置、物体追跡方法及び記録媒体
CN106296734B (zh) 基于极限学习机和boosting多核学习的目标跟踪方法
CN114723989B (zh) 多任务学习方法、装置及电子设备
CN111274981A (zh) 目标检测网络构建方法及装置、目标检测方法
CN118799343B (zh) 基于深度信息的植物分割方法、装置及设备
CN110956131A (zh) 单目标追踪方法、装置及系统
WO2021217937A1 (zh) 姿态识别模型的训练方法及设备、姿态识别方法及其设备
US12112518B2 (en) Object detection device, learning method, and recording medium
US11688175B2 (en) Methods and systems for the automated quality assurance of annotated images
KR20230071719A (ko) 이미지 처리용 신경망 훈련 방법 및 전자 장치
Tomar A critical evaluation of activation functions for autoencoder neural networks
CN119407789A (zh) 一种机械臂抓取目标检测方法和系统
US12499554B2 (en) Image processing
CN117708688A (zh) 一种基于自蒸馏辅助的噪声标签校正方法及系统
CN120599668B (zh) 基于扩散变压器先验的三维人体姿态估计方法及系统
US20260080520A1 (en) Reference-based inpainting using correspondence guidance in diffusion models
Polceanu et al. Fast Multi-Scale fHOG Feature Extraction Using Histogram Downsampling

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20220608

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20220608

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20230404

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20230518

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20230606

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20230619

R151 Written notification of patent or utility model registration

Ref document number: 7310927

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R151