METHOD AND APPARATUS FOR IMAGE SEGMENTATION USING AN EVENT SENSOR
A method for real-time semantic image segmentation using a monocular event-based sensor includes capturing a scene using a red, green, blue (RGB) sensor to obtain a plurality of RGB frames and an event sensor to obtain event data corresponding to each of the plurality of RGB frames, performing objec...
Gespeichert in:
Hauptverfasser: | , , , , , , , |
---|---|
Format: | Patent |
Sprache: | eng ; fre ; ger |
Schlagworte: | |
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 | PEDDIGARI, Venkat Ramana KRISHNAPPA, Pradeep Kumar Sindhagatta DESHPANDE, Pranav Prakash SAHA, Sujoy KAR, Akankshya SRINIVASAN, Karthik YADAV, Sourabh Singh PALASAMUDRAM, Suhas Shantaraja |
description | A method for real-time semantic image segmentation using a monocular event-based sensor includes capturing a scene using a red, green, blue (RGB) sensor to obtain a plurality of RGB frames and an event sensor to obtain event data corresponding to each of the plurality of RGB frames, performing object labeling for objects in a first RGB frame among the plurality of RGB frames by identifying one or more object classes, obtaining an event velocity of the scene by fusing the event data corresponding to the first RGB frame and at least one subsequent RGB frame among the plurality of RGB frames, determining whether the event velocity is greater than a predefined threshold, and performing object labeling for objects in the at least one subsequent RGB frame based on the determination. |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_EP3844714A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EP3844714A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_EP3844714A13</originalsourceid><addsrcrecordid>eNrjZHD0dQ3x8HdRcPQD4oAAxyDHkNBgBTf_IAVPX0d3V4VgV3dfV78QxxBPfz-F0GBPP3egUgXXMKAYUM4v2D-Ih4E1LTGnOJUXSnMzKLi5hjh76KYW5MenFhckJqfmpZbEuwYYW5iYmBuaOBoaE6EEAHaFKnw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>METHOD AND APPARATUS FOR IMAGE SEGMENTATION USING AN EVENT SENSOR</title><source>esp@cenet</source><creator>PEDDIGARI, Venkat Ramana ; KRISHNAPPA, Pradeep Kumar Sindhagatta ; DESHPANDE, Pranav Prakash ; SAHA, Sujoy ; KAR, Akankshya ; SRINIVASAN, Karthik ; YADAV, Sourabh Singh ; PALASAMUDRAM, Suhas Shantaraja</creator><creatorcontrib>PEDDIGARI, Venkat Ramana ; KRISHNAPPA, Pradeep Kumar Sindhagatta ; DESHPANDE, Pranav Prakash ; SAHA, Sujoy ; KAR, Akankshya ; SRINIVASAN, Karthik ; YADAV, Sourabh Singh ; PALASAMUDRAM, Suhas Shantaraja</creatorcontrib><description>A method for real-time semantic image segmentation using a monocular event-based sensor includes capturing a scene using a red, green, blue (RGB) sensor to obtain a plurality of RGB frames and an event sensor to obtain event data corresponding to each of the plurality of RGB frames, performing object labeling for objects in a first RGB frame among the plurality of RGB frames by identifying one or more object classes, obtaining an event velocity of the scene by fusing the event data corresponding to the first RGB frame and at least one subsequent RGB frame among the plurality of RGB frames, determining whether the event velocity is greater than a predefined threshold, and performing object labeling for objects in the at least one subsequent RGB frame based on the determination.</description><language>eng ; fre ; ger</language><subject>CALCULATING ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2021</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&date=20210707&DB=EPODOC&CC=EP&NR=3844714A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76318</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210707&DB=EPODOC&CC=EP&NR=3844714A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>PEDDIGARI, Venkat Ramana</creatorcontrib><creatorcontrib>KRISHNAPPA, Pradeep Kumar Sindhagatta</creatorcontrib><creatorcontrib>DESHPANDE, Pranav Prakash</creatorcontrib><creatorcontrib>SAHA, Sujoy</creatorcontrib><creatorcontrib>KAR, Akankshya</creatorcontrib><creatorcontrib>SRINIVASAN, Karthik</creatorcontrib><creatorcontrib>YADAV, Sourabh Singh</creatorcontrib><creatorcontrib>PALASAMUDRAM, Suhas Shantaraja</creatorcontrib><title>METHOD AND APPARATUS FOR IMAGE SEGMENTATION USING AN EVENT SENSOR</title><description>A method for real-time semantic image segmentation using a monocular event-based sensor includes capturing a scene using a red, green, blue (RGB) sensor to obtain a plurality of RGB frames and an event sensor to obtain event data corresponding to each of the plurality of RGB frames, performing object labeling for objects in a first RGB frame among the plurality of RGB frames by identifying one or more object classes, obtaining an event velocity of the scene by fusing the event data corresponding to the first RGB frame and at least one subsequent RGB frame among the plurality of RGB frames, determining whether the event velocity is greater than a predefined threshold, and performing object labeling for objects in the at least one subsequent RGB frame based on the determination.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHD0dQ3x8HdRcPQD4oAAxyDHkNBgBTf_IAVPX0d3V4VgV3dfV78QxxBPfz-F0GBPP3egUgXXMKAYUM4v2D-Ih4E1LTGnOJUXSnMzKLi5hjh76KYW5MenFhckJqfmpZbEuwYYW5iYmBuaOBoaE6EEAHaFKnw</recordid><startdate>20210707</startdate><enddate>20210707</enddate><creator>PEDDIGARI, Venkat Ramana</creator><creator>KRISHNAPPA, Pradeep Kumar Sindhagatta</creator><creator>DESHPANDE, Pranav Prakash</creator><creator>SAHA, Sujoy</creator><creator>KAR, Akankshya</creator><creator>SRINIVASAN, Karthik</creator><creator>YADAV, Sourabh Singh</creator><creator>PALASAMUDRAM, Suhas Shantaraja</creator><scope>EVB</scope></search><sort><creationdate>20210707</creationdate><title>METHOD AND APPARATUS FOR IMAGE SEGMENTATION USING AN EVENT SENSOR</title><author>PEDDIGARI, Venkat Ramana ; KRISHNAPPA, Pradeep Kumar Sindhagatta ; DESHPANDE, Pranav Prakash ; SAHA, Sujoy ; KAR, Akankshya ; SRINIVASAN, Karthik ; YADAV, Sourabh Singh ; PALASAMUDRAM, Suhas Shantaraja</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_EP3844714A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; ger</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>PEDDIGARI, Venkat Ramana</creatorcontrib><creatorcontrib>KRISHNAPPA, Pradeep Kumar Sindhagatta</creatorcontrib><creatorcontrib>DESHPANDE, Pranav Prakash</creatorcontrib><creatorcontrib>SAHA, Sujoy</creatorcontrib><creatorcontrib>KAR, Akankshya</creatorcontrib><creatorcontrib>SRINIVASAN, Karthik</creatorcontrib><creatorcontrib>YADAV, Sourabh Singh</creatorcontrib><creatorcontrib>PALASAMUDRAM, Suhas Shantaraja</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>PEDDIGARI, Venkat Ramana</au><au>KRISHNAPPA, Pradeep Kumar Sindhagatta</au><au>DESHPANDE, Pranav Prakash</au><au>SAHA, Sujoy</au><au>KAR, Akankshya</au><au>SRINIVASAN, Karthik</au><au>YADAV, Sourabh Singh</au><au>PALASAMUDRAM, Suhas Shantaraja</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>METHOD AND APPARATUS FOR IMAGE SEGMENTATION USING AN EVENT SENSOR</title><date>2021-07-07</date><risdate>2021</risdate><abstract>A method for real-time semantic image segmentation using a monocular event-based sensor includes capturing a scene using a red, green, blue (RGB) sensor to obtain a plurality of RGB frames and an event sensor to obtain event data corresponding to each of the plurality of RGB frames, performing object labeling for objects in a first RGB frame among the plurality of RGB frames by identifying one or more object classes, obtaining an event velocity of the scene by fusing the event data corresponding to the first RGB frame and at least one subsequent RGB frame among the plurality of RGB frames, determining whether the event velocity is greater than a predefined threshold, and performing object labeling for objects in the at least one subsequent RGB frame based on the determination.</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | eng ; fre ; ger |
recordid | cdi_epo_espacenet_EP3844714A1 |
source | esp@cenet |
subjects | CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
title | METHOD AND APPARATUS FOR IMAGE SEGMENTATION USING AN EVENT SENSOR |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T22%3A53%3A56IST&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=PEDDIGARI,%20Venkat%20Ramana&rft.date=2021-07-07&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EEP3844714A1%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 |