OBJECT SEGMENTATION AND FEATURE TRACKING

Examples are described for processing images to mask dynamic objects out of images to improve feature tracking between images. A device receives an image of an environment captured by an image sensor. The image depicts at least a static portion of the environment and a dynamic object in the environm...

Full description

Saved in:
Bibliographic Details
Main Authors BISAIN, Abhijeet, REITMAYR, Gerhard
Format Patent
LanguageEnglish
French
German
Published 25.10.2023
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Examples are described for processing images to mask dynamic objects out of images to improve feature tracking between images. A device receives an image of an environment captured by an image sensor. The image depicts at least a static portion of the environment and a dynamic object in the environment. The device identifies a portion of the image that includes a depiction of the dynamic object. For example, the device can detect a bounding box around the dynamic object, or can detect which pixels in the image correspond to the dynamic object. The device generates a masked image at least by masking the portion of the image. The device identifies features in the masked image, and uses the features from the masked image for feature tracking from other images of the environment, masked or otherwise. The device can use this feature tracking for mapping, localization, and/or relocation.
AbstractList Examples are described for processing images to mask dynamic objects out of images to improve feature tracking between images. A device receives an image of an environment captured by an image sensor. The image depicts at least a static portion of the environment and a dynamic object in the environment. The device identifies a portion of the image that includes a depiction of the dynamic object. For example, the device can detect a bounding box around the dynamic object, or can detect which pixels in the image correspond to the dynamic object. The device generates a masked image at least by masking the portion of the image. The device identifies features in the masked image, and uses the features from the masked image for feature tracking from other images of the environment, masked or otherwise. The device can use this feature tracking for mapping, localization, and/or relocation.
Author REITMAYR, Gerhard
BISAIN, Abhijeet
Author_xml – fullname: BISAIN, Abhijeet
– fullname: REITMAYR, Gerhard
BookMark eNrjYmDJy89L5WTQ8HfycnUOUQh2dfd19QtxDPH091Nw9HNRcHN1DAkNclUICXJ09vb0c-dhYE1LzClO5YXS3AxAJSHOHrqpBfnxqcUFicmpeakl8a4BJkZmJqYm5o6GxkQoAQCkkyVs
ContentType Patent
DBID EVB
DatabaseName esp@cenet
DatabaseTitleList
Database_xml – sequence: 1
  dbid: EVB
  name: esp@cenet
  url: http://worldwide.espacenet.com/singleLineSearch?locale=en_EP
  sourceTypes: Open Access Repository
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
Chemistry
Sciences
Physics
DocumentTitleAlternate SEGMENTATION D'OBJETS ET SUIVI DE CARACTÉRISTIQUES
OBJEKTSEGMENTIERUNG UND MERKMALSVERFOLGUNG
ExternalDocumentID EP4264547A1
GroupedDBID EVB
ID FETCH-epo_espacenet_EP4264547A13
IEDL.DBID EVB
IngestDate Fri Jul 19 13:59:59 EDT 2024
IsOpenAccess true
IsPeerReviewed false
IsScholarly false
Language English
French
German
LinkModel DirectLink
MergedId FETCHMERGED-epo_espacenet_EP4264547A13
Notes Application Number: EP20210827806
OpenAccessLink https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20231025&DB=EPODOC&CC=EP&NR=4264547A1
ParticipantIDs epo_espacenet_EP4264547A1
PublicationCentury 2000
PublicationDate 20231025
PublicationDateYYYYMMDD 2023-10-25
PublicationDate_xml – month: 10
  year: 2023
  text: 20231025
  day: 25
PublicationDecade 2020
PublicationYear 2023
RelatedCompanies QUALCOMM INCORPORATED
RelatedCompanies_xml – name: QUALCOMM INCORPORATED
Score 3.4999619
Snippet Examples are described for processing images to mask dynamic objects out of images to improve feature tracking between images. A device receives an image of an...
SourceID epo
SourceType Open Access Repository
SubjectTerms CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
Title OBJECT SEGMENTATION AND FEATURE TRACKING
URI https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20231025&DB=EPODOC&locale=&CC=EP&NR=4264547A1
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1La8MwDBale962bGPdixxG2CWMOI6THsJI82gZNAldNnorTupAL11ZMvb3J5u022W7GRnLD5BkydJngHvHYYJSwk0mPG7SmjPTE4SavGQEx3BhKSSmacomr_R57sx7sNrWwiic0C8FjogSVaG8t0pfb36CWJHKrWweyxWS3p-Swo-MzjuWlxXiGNHIj_MsykIjDLFlpDNfGn6HugE6SnsSdUvC7MdvI1mUsvltUZIT2M-R2bo9hZ5Ya3AUbj9e0-Bw2r13a3CgEjSrBomdEDZn8JCpP0r0l3gskfhVkEkP0khPYpXEoBezIESvfHwOSCrCiYmTL3YbXcT5bpn2BfTR_xeXoAtUAUNqLS0uKmqz2nNLe1gva7t0ac1qMoDBn2yu_um7hmN5YlIRE-cG-u3Hp7hFC9uWd-psvgG4DHuo
link.rule.ids 230,308,780,885,25564,76547
linkProvider European Patent Office
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfR27TsMw8FSVR9kggCjPDChiiVAS20mHCrV5NEDzUAmoW5S0jtSlVDSI3-dspYUFNussn-2T7mXfA-CWUsYJMQudcafQSVUw3eEm0YuSmbim4IasxBTFLHwlT1M6bcFikwsj64R-yeKIyFEz5PdayuvVzyOWJ2Mr1_flAkHvD0HW97TGOxbGikk1b9j308RLXM11caTFk75Q_JTYA3SUdmzRcFdYTm9DkZSy-q1RgkPYTRHZsj6CFl8q0HE3jdcU2I-a_24F9mSA5myNwIYJ18dwl8geJeqLPxKV-OUjkzqIPTXwZRCDmk0GLnrloxNAUOaGOm6eby-a--n2mNYptNH_52egchQBPWLMjYLPiMUqxy6tXjWvrNImFavMLnT_RHP-z9wNdMIsGufjx_j5Ag4E9YRQNukltOuPT36F2rYuryWdvgGtdn6Z
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Apatent&rft.title=OBJECT+SEGMENTATION+AND+FEATURE+TRACKING&rft.inventor=BISAIN%2C+Abhijeet&rft.inventor=REITMAYR%2C+Gerhard&rft.date=2023-10-25&rft.externalDBID=A1&rft.externalDocID=EP4264547A1