{"id":"https://openalex.org/W2402380704","doi":"https://doi.org/10.5220/0004753701470154","title":"A Low Illumination Environment Motion Detection Method based on Dictionary Learning","display_name":"A Low Illumination Environment Motion Detection Method based on Dictionary Learning","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2402380704","doi":"https://doi.org/10.5220/0004753701470154","mag":"2402380704"},"language":"en","primary_location":{"id":"doi:10.5220/0004753701470154","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004753701470154","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0004753701470154","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001902162","display_name":"Huaxin Xiao","orcid":"https://orcid.org/0000-0003-4524-2698"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huaxin Xiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100345786","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0002-5216-3181"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100372368","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0002-5176-9202"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024233916","display_name":"Shuren Tan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuren Tan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100770610","display_name":"Maojun Zhang","orcid":"https://orcid.org/0000-0002-0006-3525"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maojun Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"147","last_page":"154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9991999864578247,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.718034029006958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6516244411468506},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5829789638519287},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5536009669303894}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.718034029006958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6516244411468506},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5829789638519287},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5536009669303894}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0004753701470154","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004753701470154","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0004753701470154","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004753701470154","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1693345094","https://openalex.org/W2046852638","https://openalex.org/W2063978378","https://openalex.org/W2102625004","https://openalex.org/W2112447569","https://openalex.org/W2115213191","https://openalex.org/W2121274305","https://openalex.org/W2127070222","https://openalex.org/W2133665775","https://openalex.org/W2145962650","https://openalex.org/W2160547390"],"related_works":["https://openalex.org/W1891287906","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W2755342338","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2058170566"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,22,86],"dictionary-based":[4],"motion":[5],"detection":[6,52,57],"method":[7,83],"on":[8],"video":[9],"images":[10,26],"captured":[11],"under":[12,89],"low":[13,91],"light":[14],"with":[15],"serious":[16],"noise.":[17],"The":[18],"proposed":[19,82],"approach":[20],"trains":[21],"dictionary":[23],"by":[24,59],"background":[25],"without":[27],"foreground.":[28],"It":[29],"then":[30],"reconstructs":[31],"the":[32,37,44,51,56,60,72,81],"test":[33],"image":[34],"according":[35],"to":[36,54,71],"theory":[38],"of":[39,74],"sparse":[40],"coding,":[41],"and":[42,62,77],"introduces":[43],"Structural":[45],"Similarity":[46],"Index":[47],"Measurement":[48],"(SSIM)":[49],"as":[50],"standard":[53],"identify":[55],"caused":[58],"brightness":[61],"contrast":[63],"ratio":[64],"changes.":[65],"Experimental":[66],"results":[67],"show":[68],"that":[69],"compared":[70],"mixture":[73],"Gaussian":[75],"model":[76],"frame":[78],"difference":[79],"method,":[80],"can":[84],"reach":[85],"better":[87],"result":[88],"extreme":[90],"illumination":[92],"circumstance.":[93]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-06-24T00:00:00"}