FR3116977B1 - Dispositif de compensation du mouvement d’un capteur événementiel, systèmes et procédés associés - Google Patents

Dispositif de compensation du mouvement d’un capteur événementiel, systèmes et procédés associés Download PDF

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Publication number
FR3116977B1
FR3116977B1 FR2012539A FR2012539A FR3116977B1 FR 3116977 B1 FR3116977 B1 FR 3116977B1 FR 2012539 A FR2012539 A FR 2012539A FR 2012539 A FR2012539 A FR 2012539A FR 3116977 B1 FR3116977 B1 FR 3116977B1
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FR
France
Prior art keywords
event sensor
movement
compensating
methods
compensation
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
FR2012539A
Other languages
English (en)
Other versions
FR3116977A1 (fr
Inventor
Maxence Bouvier
Alexis Bige
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.)
Commissariat a lEnergie Atomique et aux Energies Alternatives CEA
Original Assignee
Commissariat a lEnergie Atomique CEA
Commissariat a lEnergie Atomique et aux Energies Alternatives CEA
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 Commissariat a lEnergie Atomique CEA, Commissariat a lEnergie Atomique et aux Energies Alternatives CEA filed Critical Commissariat a lEnergie Atomique CEA
Priority to FR2012539A priority Critical patent/FR3116977B1/fr
Priority to PCT/EP2021/083486 priority patent/WO2022117535A1/fr
Publication of FR3116977A1 publication Critical patent/FR3116977A1/fr
Application granted granted Critical
Publication of FR3116977B1 publication Critical patent/FR3116977B1/fr
Active legal-status Critical Current
Anticipated expiration legal-status Critical

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/10Image acquisition
    • G06V10/12Details of acquisition arrangements; Constructional details thereof
    • G06V10/14Optical characteristics of the device performing the acquisition or on the illumination arrangements
    • G06V10/147Details of sensors, e.g. sensor lenses
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00Burglar, theft or intruder alarms
    • G08B13/18Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19602Image analysis to detect motion of the intruder, e.g. by frame subtraction
    • G08B13/19606Discriminating between target movement or movement in an area of interest and other non-signicative movements, e.g. target movements induced by camera shake or movements of pets, falling leaves, rotating fan
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00Burglar, theft or intruder alarms
    • G08B13/18Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19665Details related to the storage of video surveillance data
    • G08B13/19669Event triggers storage or change of storage policy
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules
    • H04N23/68Control of cameras or camera modules for stable pick-up of the scene, e.g. compensating for camera body vibrations
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/47Image sensors with pixel address output; Event-driven image sensors; Selection of pixels to be read out based on image data
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S3/00Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received
    • G01S3/78Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received using electromagnetic waves other than radio waves
    • G01S3/781Details

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Vascular Medicine (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

Dispositif de compensation du mouvement d’un capteur événementiel, systèmes et procédés associé s L’invention concerne un dispositif de compensation (16) du mouvement d’un capteur événementiel (12) dans un flux d’événements généré par le capteur événementiel (12) lors d’une observation d’un environnement dans un intervalle de temps, le dispositif de compensation (16) comprenant : - une unité de compensation (34), l’unité de compensation (34) étant propre à recevoir des données relatives au mouvement du capteur événementiel (12) pendant l’intervalle de temps et propre à appliquer une technique de compensation au flux d’événements générés par le capteur événementiel (12) en fonction des données reçues pour obtenir un flux d’événements compensé dans l’intervalle de temps, et - une unité de contrôle (40) de l’unité de compensation (34), l’unité de contrôle (40) étant propre à contrôler l’unité de compensation (34) par envoi de données relatives au mouvement du capteur événementiel (12). Figure pour l'abrégé : figure 1
FR2012539A 2020-12-02 2020-12-02 Dispositif de compensation du mouvement d’un capteur événementiel, systèmes et procédés associés Active FR3116977B1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
FR2012539A FR3116977B1 (fr) 2020-12-02 2020-12-02 Dispositif de compensation du mouvement d’un capteur événementiel, systèmes et procédés associés
PCT/EP2021/083486 WO2022117535A1 (fr) 2020-12-02 2021-11-30 Dispositif de compensation du mouvement d'un capteur événementiel, systèmes et procédés associés

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR2012539A FR3116977B1 (fr) 2020-12-02 2020-12-02 Dispositif de compensation du mouvement d’un capteur événementiel, systèmes et procédés associés
FR2012539 2020-12-02

Publications (2)

Publication Number Publication Date
FR3116977A1 FR3116977A1 (fr) 2022-06-03
FR3116977B1 true FR3116977B1 (fr) 2023-11-17

Family

ID=76730579

Family Applications (1)

Application Number Title Priority Date Filing Date
FR2012539A Active FR3116977B1 (fr) 2020-12-02 2020-12-02 Dispositif de compensation du mouvement d’un capteur événementiel, systèmes et procédés associés

Country Status (2)

Country Link
FR (1) FR3116977B1 (fr)
WO (1) WO2022117535A1 (fr)

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11202006B2 (en) * 2018-05-18 2021-12-14 Samsung Electronics Co., Ltd. CMOS-assisted inside-out dynamic vision sensor tracking for low power mobile platforms
US11288818B2 (en) * 2019-02-19 2022-03-29 The Trustees Of The University Of Pennsylvania Methods, systems, and computer readable media for estimation of optical flow, depth, and egomotion using neural network trained using event-based learning

Also Published As

Publication number Publication date
FR3116977A1 (fr) 2022-06-03
WO2022117535A1 (fr) 2022-06-09

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