JP7434394B2 - フォールスネガティブ物体検出を有する可能性があるイメージを決定するための方法 - Google Patents

フォールスネガティブ物体検出を有する可能性があるイメージを決定するための方法 Download PDF

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JP7434394B2
JP7434394B2 JP2022042128A JP2022042128A JP7434394B2 JP 7434394 B2 JP7434394 B2 JP 7434394B2 JP 2022042128 A JP2022042128 A JP 2022042128A JP 2022042128 A JP2022042128 A JP 2022042128A JP 7434394 B2 JP7434394 B2 JP 7434394B2
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ヤコブ グランドストレム，
マルティン ユングクヴィスト，
サイモン モリン，
クリスティアン コリアンダー，
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アクシス アーベー
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/20—Scenes; Scene-specific elements in augmented reality scenes
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/215—Motion-based segmentation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/255—Detecting or recognising potential candidate objects based on visual cues, e.g. shapes
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30241—Trajectory
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Image Analysis (AREA)
JP2022042128A 2021-03-25 2022-03-17 フォールスネガティブ物体検出を有する可能性があるイメージを決定するための方法 Active JP7434394B2 (ja)

Applications Claiming Priority (2)

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EP21164888 2021-03-25
EP21164888.6A EP4064120B1 (en) 2021-03-25 2021-03-25 Method for determining images plausible to have a false negative object detection

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JP2022151740A JP2022151740A (ja) 2022-10-07
JP2022151740A5 JP2022151740A5 (https=) 2023-09-19
JP7434394B2 true JP7434394B2 (ja) 2024-02-20

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US (1) US12190590B2 (https=)
EP (1) EP4064120B1 (https=)
JP (1) JP7434394B2 (https=)
KR (1) KR102595676B1 (https=)
CN (1) CN115131585B (https=)
TW (1) TWI888712B (https=)

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CN113924605B (zh) * 2019-04-30 2025-08-05 大众汽车股份公司 检测用于检查图像分析系统的图像材料的方法、在该方法中使用的装置和交通工具以及计算机可读的存储介质
US12159454B2 (en) 2022-01-27 2024-12-03 Ford Global Technologies, Llc False track mitigation in object detection systems

Citations (2)

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JP2007310480A (ja) 2006-05-16 2007-11-29 Toyota Motor Corp 認識装置および認識方法
JP2020187389A (ja) 2019-05-09 2020-11-19 コニカミノルタ株式会社 移動体軌跡分析装置、移動体軌跡分析プログラム、および移動体軌跡分析方法

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US7965866B2 (en) 2007-07-03 2011-06-21 Shoppertrak Rct Corporation System and process for detecting, tracking and counting human objects of interest
TWI489394B (zh) * 2008-03-03 2015-06-21 Videoiq Inc 用於追蹤、索引及搜尋之物件匹配
US8614744B2 (en) * 2008-07-21 2013-12-24 International Business Machines Corporation Area monitoring using prototypical tracks
TWI382360B (zh) * 2008-08-01 2013-01-11 Univ Nat Taiwan Science Tech 物件偵測方法及其裝置
US9141196B2 (en) * 2012-04-16 2015-09-22 Qualcomm Incorporated Robust and efficient learning object tracker
JP2014071832A (ja) * 2012-10-01 2014-04-21 Toshiba Corp 物体検出装置及びその検出方法
TW201520907A (zh) * 2013-11-29 2015-06-01 Nat Inst Chung Shan Science & Technology 影像式機踏車與行人偵測系統及其方法
KR102164637B1 (ko) * 2014-09-23 2020-10-12 현대자동차주식회사 고속 객체 추적 시스템 및 그 방법
CN105046220A (zh) 2015-07-10 2015-11-11 华为技术有限公司 一种多目标跟踪方法、装置及设备
WO2017156628A1 (en) 2016-03-17 2017-09-21 Avigilon Corporation System and method for training object classifier by machine learning
KR101913648B1 (ko) * 2017-01-23 2018-10-31 광주과학기술원 다중 객체 추적 방법
CN108734103B (zh) 2018-04-20 2021-08-20 复旦大学 卫星视频中运动目标的检测与跟踪方法
CN110443833B (zh) * 2018-05-04 2023-09-26 佳能株式会社 对象跟踪方法和设备
CN108960046A (zh) 2018-05-23 2018-12-07 北京图森未来科技有限公司 一种训练数据采样方法及其装置、计算机服务器
TWI759534B (zh) * 2018-08-28 2022-04-01 趙尚威 基於多重物體之視覺活動識別系統
CN112507949A (zh) * 2020-12-18 2021-03-16 北京百度网讯科技有限公司 目标跟踪方法、装置、路侧设备以及云控平台

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JP2007310480A (ja) 2006-05-16 2007-11-29 Toyota Motor Corp 認識装置および認識方法
JP2020187389A (ja) 2019-05-09 2020-11-19 コニカミノルタ株式会社 移動体軌跡分析装置、移動体軌跡分析プログラム、および移動体軌跡分析方法

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CN115131585A (zh) 2022-09-30
EP4064120A1 (en) 2022-09-28
US20220309792A1 (en) 2022-09-29
CN115131585B (zh) 2024-08-27
TWI888712B (zh) 2025-07-01
KR20220133768A (ko) 2022-10-05
US12190590B2 (en) 2025-01-07
TW202240540A (zh) 2022-10-16
JP2022151740A (ja) 2022-10-07
KR102595676B1 (ko) 2023-10-27
EP4064120B1 (en) 2023-07-26

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