{"id":"https://openalex.org/W2904073319","doi":"https://doi.org/10.23919/spa.2018.8563404","title":"Hardware implementation of the Gaussian Mixture Model foreground object segmentation algorithm working with ultra-high resolution video stream in real-time","display_name":"Hardware implementation of the Gaussian Mixture Model foreground object segmentation algorithm working with ultra-high resolution video stream in real-time","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2904073319","doi":"https://doi.org/10.23919/spa.2018.8563404","mag":"2904073319"},"language":"en","primary_location":{"id":"doi:10.23919/spa.2018.8563404","is_oa":false,"landing_page_url":"https://doi.org/10.23919/spa.2018.8563404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5105534477","display_name":"Piotr Andrzej Janus","orcid":null},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Piotr Janus","raw_affiliation_strings":["AGH University of Science and Technology, Krakow, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AGH University of Science and Technology, Krakow, Poland","institution_ids":["https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005086061","display_name":"Tomasz Kryjak","orcid":"https://orcid.org/0000-0001-6798-4444"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Tomasz Kryjak","raw_affiliation_strings":["AGH University of Science and Technology, Krakow, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AGH University of Science and Technology, Krakow, Poland","institution_ids":["https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I686019"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"140","last_page":"145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8150873780250549},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7284088134765625},{"id":"https://openalex.org/keywords/mpsoc","display_name":"MPSoC","score":0.715937077999115},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.6059516072273254},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6050989627838135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.547636091709137},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.5416314005851746},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.522591233253479},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5193173289299011},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5110422372817993},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.48044368624687195},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.4749581813812256},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.462898850440979},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.4559129476547241},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.44143643975257874},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43959230184555054},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4271131753921509},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41079574823379517},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.2872169613838196},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.27360984683036804},{"id":"https://openalex.org/keywords/system-on-a-chip","display_name":"System on a chip","score":0.20499330759048462},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.19728007912635803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8150873780250549},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7284088134765625},{"id":"https://openalex.org/C2777187653","wikidata":"https://www.wikidata.org/wiki/Q975106","display_name":"MPSoC","level":3,"score":0.715937077999115},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.6059516072273254},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6050989627838135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.547636091709137},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.5416314005851746},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.522591233253479},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5193173289299011},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5110422372817993},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.48044368624687195},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.4749581813812256},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.462898850440979},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.4559129476547241},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.44143643975257874},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43959230184555054},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4271131753921509},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41079574823379517},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2872169613838196},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.27360984683036804},{"id":"https://openalex.org/C118021083","wikidata":"https://www.wikidata.org/wiki/Q610398","display_name":"System on a chip","level":2,"score":0.20499330759048462},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.19728007912635803},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/spa.2018.8563404","is_oa":false,"landing_page_url":"https://doi.org/10.23919/spa.2018.8563404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8500000238418579,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1964127768","https://openalex.org/W1969977005","https://openalex.org/W1988061476","https://openalex.org/W2003286928","https://openalex.org/W2061201908","https://openalex.org/W2065441822","https://openalex.org/W2074998620","https://openalex.org/W2100234160","https://openalex.org/W2102625004","https://openalex.org/W2104298702","https://openalex.org/W2118143383","https://openalex.org/W2127070222","https://openalex.org/W2792479961","https://openalex.org/W2795703991","https://openalex.org/W4237743494"],"related_works":["https://openalex.org/W2155354377","https://openalex.org/W2620469466","https://openalex.org/W2011323037","https://openalex.org/W4244119470","https://openalex.org/W2002381192","https://openalex.org/W4361022438","https://openalex.org/W2386749094","https://openalex.org/W1981978224","https://openalex.org/W39598702","https://openalex.org/W2096006988"],"abstract_inverted_index":{"The":[0],"following":[1],"topics":[2],"are":[3],"dealt":[4],"with:":[5],"medical":[6],"image":[7,14,27],"processing;":[8,13,26],"feature":[9],"extraction;":[10],"acoustic":[11],"signal":[12,25],"segmentation;":[15],"object":[16],"detection;":[17],"biomedical":[18],"MRI;":[19],"learning":[20],"(artificial":[21],"intelligence);":[22],"diseases;":[23],"video":[24],"coding.":[28]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
