{"id":"https://openalex.org/W3015457839","doi":"https://doi.org/10.1109/icassp40776.2020.9054668","title":"View-Angle Invariant Object Monitoring Without Image Registration","display_name":"View-Angle Invariant Object Monitoring Without Image Registration","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015457839","doi":"https://doi.org/10.1109/icassp40776.2020.9054668","mag":"3015457839"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","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/A5067715727","display_name":"Xin Zhang","orcid":"https://orcid.org/0000-0003-2901-2593"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Zhang","raw_affiliation_strings":["NLPR, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"NLPR, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047574411","display_name":"Chunlei Huo","orcid":"https://orcid.org/0000-0002-6748-6709"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunlei Huo","raw_affiliation_strings":["NLPR, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"NLPR, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100435212","display_name":"Chunhong Pan","orcid":"https://orcid.org/0000-0001-7433-4474"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunhong Pan","raw_affiliation_strings":["NLPR, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"NLPR, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067715727"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":0.0977,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.36663978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2015","issue":null,"first_page":"2283","last_page":"2287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9969000220298767,"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"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8027209639549255},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7964456081390381},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.7016056776046753},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6825758218765259},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6536130905151367},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.631612241268158},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5413584113121033},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4990062713623047},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.486798495054245},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4274333715438843},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3855944871902466},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.31951355934143066},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1883116066455841}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8027209639549255},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7964456081390381},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.7016056776046753},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6825758218765259},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6536130905151367},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.631612241268158},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5413584113121033},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4990062713623047},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.486798495054245},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4274333715438843},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3855944871902466},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31951355934143066},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1883116066455841},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2031489346","https://openalex.org/W2052094314","https://openalex.org/W2052524720","https://openalex.org/W2108444897","https://openalex.org/W2124404372","https://openalex.org/W2134236847","https://openalex.org/W2144552105","https://openalex.org/W2151103935","https://openalex.org/W2221448138","https://openalex.org/W2462287208","https://openalex.org/W2464416094","https://openalex.org/W2516616494","https://openalex.org/W2774243562","https://openalex.org/W2898541470","https://openalex.org/W6620707391","https://openalex.org/W6676079856","https://openalex.org/W6756211051"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2069592018","https://openalex.org/W3181296946","https://openalex.org/W2075740387","https://openalex.org/W2376528221","https://openalex.org/W2359428812","https://openalex.org/W196800607","https://openalex.org/W2358990940"],"abstract_inverted_index":{"Object":[0],"monitoring":[1,45],"can":[2],"be":[3],"performed":[4],"by":[5,26],"change":[6,20,38],"detection":[7,21,39],"algorithms.":[8],"However,":[9],"for":[10,43],"the":[11,19,32,54,72,77],"image":[12,28,68],"pair":[13],"with":[14],"a":[15,35],"large":[16],"perspective":[17],"difference,":[18],"performance":[22],"is":[23,41,57],"usually":[24],"impacted":[25],"inaccurate":[27],"registration.":[29,69],"To":[30],"address":[31],"above":[33],"difficulties,":[34],"novel":[36],"object-specific":[37],"approach":[40,56],"proposed":[42,55,78],"object":[44],"in":[46],"this":[47],"paper.":[48],"In":[49],"contrast":[50],"to":[51,59],"traditional":[52],"approaches,":[53],"robust":[58],"view":[60],"angle":[61],"variation":[62],"and":[63,74],"does":[64],"not":[65],"require":[66],"explicit":[67],"Experiments":[70],"demonstrate":[71],"effectiveness":[73],"advantages":[75],"of":[76],"approach.":[79]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}