Methods And Systems to Predict Activity In A Sequence Of Images

Methods And Systems to Predict Activity In A Sequence Of Images

A method to determine activity in a sequence of successively acquired images of a scene, comprises: acquiring the sequence of images; for each image in the sequence of images, forming a feature block of features extracted from the image and determining image specific information including a weightin...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Dutu, Liviu-Cristian, Filip, Dan, Malaescu, Alexandru, Dumitru-Guzu, Madalin, Ciuc, Mihai
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Dutu, Liviu-Cristian
Filip, Dan
Malaescu, Alexandru
Dumitru-Guzu, Madalin
Ciuc, Mihai
description A method to determine activity in a sequence of successively acquired images of a scene, comprises: acquiring the sequence of images; for each image in the sequence of images, forming a feature block of features extracted from the image and determining image specific information including a weighting for the image; normalizing the determined weightings to form a normalized weighting for each image in the sequence of images; for each image in the sequence of images, combining the associated normalized weighting and associated feature block to form a weighted feature block; passing a combination of the weighted feature blocks through a predictive module to determine an activity in the sequence of images; and outputting a result comprising the determined activity in the sequence of images.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2023419727A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2023419727A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2023419727A13</originalsourceid><addsrcrecordid>eNrjZLD3TS3JyE8pVnDMS1EIriwuSc0tVijJVwgoSk3JTC5RcEwuySzLLKlU8MxTcFQITi0sTc1LTlXwT1PwzE1MTy3mYWBNS8wpTuWF0twMym6uIc4euqkF-fGpxQWJyal5qSXxocFGBkbGJoaW5kbmjobGxKkCALAQMHo</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Methods And Systems to Predict Activity In A Sequence Of Images</title><source>esp@cenet</source><creator>Dutu, Liviu-Cristian ; Filip, Dan ; Malaescu, Alexandru ; Dumitru-Guzu, Madalin ; Ciuc, Mihai</creator><creatorcontrib>Dutu, Liviu-Cristian ; Filip, Dan ; Malaescu, Alexandru ; Dumitru-Guzu, Madalin ; Ciuc, Mihai</creatorcontrib><description>A method to determine activity in a sequence of successively acquired images of a scene, comprises: acquiring the sequence of images; for each image in the sequence of images, forming a feature block of features extracted from the image and determining image specific information including a weighting for the image; normalizing the determined weightings to form a normalized weighting for each image in the sequence of images; for each image in the sequence of images, combining the associated normalized weighting and associated feature block to form a weighted feature block; passing a combination of the weighted feature blocks through a predictive module to determine an activity in the sequence of images; and outputting a result comprising the determined activity in the sequence of images.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20231228&amp;DB=EPODOC&amp;CC=US&amp;NR=2023419727A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20231228&amp;DB=EPODOC&amp;CC=US&amp;NR=2023419727A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Dutu, Liviu-Cristian</creatorcontrib><creatorcontrib>Filip, Dan</creatorcontrib><creatorcontrib>Malaescu, Alexandru</creatorcontrib><creatorcontrib>Dumitru-Guzu, Madalin</creatorcontrib><creatorcontrib>Ciuc, Mihai</creatorcontrib><title>Methods And Systems to Predict Activity In A Sequence Of Images</title><description>A method to determine activity in a sequence of successively acquired images of a scene, comprises: acquiring the sequence of images; for each image in the sequence of images, forming a feature block of features extracted from the image and determining image specific information including a weighting for the image; normalizing the determined weightings to form a normalized weighting for each image in the sequence of images; for each image in the sequence of images, combining the associated normalized weighting and associated feature block to form a weighted feature block; passing a combination of the weighted feature blocks through a predictive module to determine an activity in the sequence of images; and outputting a result comprising the determined activity in the sequence of images.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLD3TS3JyE8pVnDMS1EIriwuSc0tVijJVwgoSk3JTC5RcEwuySzLLKlU8MxTcFQITi0sTc1LTlXwT1PwzE1MTy3mYWBNS8wpTuWF0twMym6uIc4euqkF-fGpxQWJyal5qSXxocFGBkbGJoaW5kbmjobGxKkCALAQMHo</recordid><startdate>20231228</startdate><enddate>20231228</enddate><creator>Dutu, Liviu-Cristian</creator><creator>Filip, Dan</creator><creator>Malaescu, Alexandru</creator><creator>Dumitru-Guzu, Madalin</creator><creator>Ciuc, Mihai</creator><scope>EVB</scope></search><sort><creationdate>20231228</creationdate><title>Methods And Systems to Predict Activity In A Sequence Of Images</title><author>Dutu, Liviu-Cristian ; Filip, Dan ; Malaescu, Alexandru ; Dumitru-Guzu, Madalin ; Ciuc, Mihai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2023419727A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Dutu, Liviu-Cristian</creatorcontrib><creatorcontrib>Filip, Dan</creatorcontrib><creatorcontrib>Malaescu, Alexandru</creatorcontrib><creatorcontrib>Dumitru-Guzu, Madalin</creatorcontrib><creatorcontrib>Ciuc, Mihai</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Dutu, Liviu-Cristian</au><au>Filip, Dan</au><au>Malaescu, Alexandru</au><au>Dumitru-Guzu, Madalin</au><au>Ciuc, Mihai</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Methods And Systems to Predict Activity In A Sequence Of Images</title><date>2023-12-28</date><risdate>2023</risdate><abstract>A method to determine activity in a sequence of successively acquired images of a scene, comprises: acquiring the sequence of images; for each image in the sequence of images, forming a feature block of features extracted from the image and determining image specific information including a weighting for the image; normalizing the determined weightings to form a normalized weighting for each image in the sequence of images; for each image in the sequence of images, combining the associated normalized weighting and associated feature block to form a weighted feature block; passing a combination of the weighted feature blocks through a predictive module to determine an activity in the sequence of images; and outputting a result comprising the determined activity in the sequence of images.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_epo_espacenet_US2023419727A1
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
title Methods And Systems to Predict Activity In A Sequence Of Images
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-23T15%3A54%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Dutu,%20Liviu-Cristian&rft.date=2023-12-28&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2023419727A1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true